Podcasts about Interoperability

Better evidence lands every year. The win is getting it to the bedside while the patient is still in the room, and that is now solvable.Cambrian Health turns a published guideline into a working protocol and surfaces the next right step inside the EHR, at the visit. First target is cardiovascular-kidney-metabolic care, where the first ever CKM guideline gives cardiology, nephrology, endocrinology, and primary care one shared framework to work from. Co-Founder and CEO Sarah Schmidt walks through what makes it stick: choosing the right patients for a protocol, assigning clear ownership so it stays current, closing the cost and prior auth gaps that keep proven therapies from patients, and building the CFO case for prevention.Pick the right patient population for a protocol before you build itAssign protocol ownership so guideline updates land in weeksClose the cost and prior auth gaps keeping proven therapies from patientsBuild the CFO case for prevention that survives a budget reviewDecide what to buy and what to build for clinical AISarah Schmidt, CEO, Cambrian HealthMegan Antonelli, Chief Executive Officer, HealthIMPACT Live Subscribe to Digital Health Talks on Apple Podcasts, Spotify, YouTube, or wherever you listen.Learn more about HealthIMPACT Live events, virtual forums, and healthcare leader conversations at healthimpactlive.com.Interested in being a guest, sponsoring, or joining the HealthIMPACT community? Visit healthimpactlive.com/digital-health-talks.

CSIRO's Smart Health Checks is Bringing Conversations Back to CareHealthcare interoperability is seen as a back-office challenge and it is rarely spoken about as a benefit to clinicians. But what if it was? Could it help accelerate initiatives? An initiative in Australia is doing just that - improving data exchange to reduce screen time so that clinicians can focus more on conversations with patients. Healthcare IT Today sat down with Kirsty Maunder, Senior Business Analyst at CSIRO's Australian e-Health Research Centre. She explains how their Smart Health Checks initiative uses Smart on FHIR technology to pre-populate clinical forms and return providers to natural conversations with patients. You will discover how bidirectional data write-back stops transcription errors and why building from frontline clinical frustrations drives genuine technology adoption.

Canada's digital health landscape is shaped not just by technology, but by the relationships between governments, communities, and the people delivering care. Today, our leaders guide us through partnership and policy, care and collaboration, and how we can move health care forward together. Guests: Elizabeth Toller, Director General, Health Care Strategies, Health Canada Dr. François de Wet, Territorial Chief of Staff, Nunavut ·   Learn more: Bill S-5: The Connected Care for Canadians Act Working Together bilateral agreements Summary: 00:46 Meet the Guests 03:49 Bill S-5 and Regulation 05:00 Nunavut's Interoperability Landscape 11:11 Impacts of (Dis)connected Care 14:08 Policy Signals and Standards 17:49 Pan-Canadian Wins 22:12 Stories That Stick 29:16 Five-Year Vision Forward Music: RetroFuture Clean and Breakdown, by Kevin MacLeod. Used under Creative Commons.

Healthcare organizations are under increasing pressure to make better use of data, AI, and automation but none of those technologies can reach their full potential without reliable access to the right patient information. In this episode of Interop Now, host Sandy Vance chats with Dima Goncharov, co-founder & CEO of Metriport, about the evolving healthcare interoperability landscape, health information exchanges, FHIR, QHINs, and the challenge of bringing fragmented clinical data together. They discuss why interoperability is becoming table stakes in modern healthcare, the limits of building connections in-house, and how a stronger data foundation can help providers move from simply exchanging information to using it to improve care. They also explore how AI and large language models answer complex patient questions in real time when the underlying data is trustworthy, accessible, and properly organized.In this episode, they talk about:Why healthcare interoperability continues to evolve and why connecting to a single network still isn't enough to create a complete patient picture.How health information exchanges, national networks, and emerging frameworks such as TEFCA fit into today's interoperability landscape.Why healthcare data transformation, patient matching, record location, and deduplication remain major challenges even after connectivity is established.Why Metriport believes interoperability should be treated as table-stakes infrastructure, rather than a project healthcare organizations have to continually build and maintain themselves.How clean, accessible longitudinal patient data creates the foundation for AI, automation, and modern care models.Why AI and LLMs could help providers synthesize complicated healthcare data and answer patient-specific questions in real time.Real-world examples of interoperability helping providers surface previously unavailable information, avoid unnecessary testing, and make faster treatment decisions.A Little About Dima:Dima Goncharov is the Co-Founder and CEO of Metriport, an open-source platform transforming healthcare data exchange. With a background as a software engineer, Dima has built everything from aerospace and defense mission systems to highly available cloud database services at Amazon Web Services (AWS). Dima's passion for transparent, secure, and accessible health data solutions is evident in Metriport's mission and the APIs they've developed for seamless medical record retrieval. Dima is an alumnus of both British Columbia Institute of Technology and of Y Combinator's S22 cohort. Now based in San Francisco, he leads Metriport's efforts to modernize and open up healthcare interoperability for providers everywhere.

Most cities operate on assumptions that were handed down years ago and consider frontline workers as executors of top-down decisions. In this episode, San Francisco's former Chief of Strategy and Performance Jessica MacLeod shows what happens when you treat them as problem-solvers with lived expertise and new ideas. Add visible systems mapping, permission to experiment, and data that has narrative, and suddenly government can move at the speed of actual change.In this episode, you'll learn:Why frontline stories unlock patterns dashboards miss—and make data actually meaningfulHow mapping hidden assumptions lets you test what actually works versus what you've always doneHow brighter lights reduced drug complaints 54% in one park, then scaled across the cityWhy small experiments at every level create change makers faster than top-down mandatesWhy empowering staff to solve problems (not interrogating them on numbers) unlocks actual performance changeListener Survey: bit.ly/datasmartpodMusic credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

What does it take to connect clinical and social care—and make interoperability work beyond the walls of the healthcare system? In this episode, Kemper Tell, CEO of LACIE, shares her journey into healthcare technology and explores why social care belongs in the interoperability conversation. She discusses what LACIE has learned connecting providers, payers, community organizations, and patients; Missouri's statewide deployment of the HL7 FHIR eLTSS Implementation Guide; and the lessons learned moving from a sandbox proof of concept to operationalizing real-world data. 

For the 201st episode of the Healthcare IT Today Podcast, sponsored by Rhapsody, we are talking about Epic UGM and Health IT Australia! We kick this episode off by comparing the general vibe of this year’s UGM to the previous one. Then we discuss the signs or portents of things to come that we noticed, as well as the areas where people were focusing their attention. Next, we share the announcements that stood out to us at Epic UGM. Then we dig into Australia being an EMR greenfield market. Finally, we wrap this episode up by discussing our biggest takeaways from Health IT in Australia. Thank you to this episode’s sponsor, Rhapsody. Interoperability is hard to say, and even harder to do. Rhapsody makes it easy. Built exclusively for healthcare, Rhapsody helps organizations connect systems, activate trusted data, and reduce the burden of integration so teams can move faster with confidence. Trusted by more than 1,900 healthcare organizations worldwide and ranked #1 in Best in KLAS for integration for 17 years running, Rhapsody is helping healthcare organizations build an AI-ready foundation for what’s next. See where you stand. Get the Rhapsody State of Interoperability report at interopreport.com. Here's a preview of the topics and questions we discuss in this episode: What was the general vibe at this year's UGM compared to previous ones? Any signs or portents of things to come or areas where people were focusing their attention? What announcements stood out to you at Epic UGM? What's this I hear about Australia being an EMR greenfield market? What were some of your big takeaways from Health IT in Australia? Now, without further ado, we’re excited to share with you the next episode of the Healthcare IT Today podcast. We publish a new Healthcare IT Today podcast every ~2 weeks. Thanks to our friends at Healthcare Now Radio, you’ll be able to listen to the latest episodes of Healthcare IT Today on their radio station for the first two weeks. Then, we’ll be publishing each episode as a podcast and YouTube video here after it finishes on the radio. You can also subscribe to the Healthcare IT Today podcast on any of the following platforms: Apple Podcasts Google Podcasts Stitcher Podcast Radio TuneIn Spotify iHeartRadio Pandora Thanks for listening to Healthcare IT Today and if you enjoy the content we’re sharing, please rate the podcast on your favorite podcasting platform. Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube. Plus, all of the audio and video versions will be made available to stream on HealthcareITToday.com. If you work in Healthcare IT, we’d love to hear where you agree and/or disagree with the perspectives we shared. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, with @Colin_Hung or @techguy on Twitter, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes. Thanks so much for listening! Rhapsody is a proud sponsor of Healthcare Scene. Listen to Our Latest Episodes:

Before ground forces can advance, the battlefield has to be shaped. Air defenses have to come down. Enemy weapons have to be destroyed. And the adversaries' will to combat America has to be lessened. This is the job of field artillery; a branch of the US Army where speed, distance, precision, and results determine who controls the battlefield before ground forces ever make contact.From Fort Bragg, NC, the 18th Field Artillery Brigade leads the Army's rapidly deployable artillery units. As the largest HIMARS brigade, its soldiers must be prepared to deploy anywhere in the world within 10 days of notification and deliver long-range precision fires in support of the XVIII Airborne Corps, its divisions, and Special Operations Forces.Fran Racioppi sat down with the command team of Colonel Andy Hercik and Command Sergeant Major George Cabrera, to talk about what it takes to maintain readiness as the battlefield rapidly changes. After two decades of counterinsurgency, field artillery is now leading in large-scale combat operations where kilometers matter, ammunition and logistics can determine operational reach, and the ability to shoot, move, communicate, and survive has become unforgiving.Drones have made the battlefield increasingly transparent. A cell phone can expose a position. A lingering electromagnetic signature can make a HIMARS crew a target. The answer isn't abandoning the fundamentals. It's executing them better, while using lessons from today's conflicts to change how soldiers train and how the Army develops the capabilities required for tomorrow.We also discuss what true integration between conventional forces and Special Operations looks like, why the targeting process has to bring every capability together from the beginning, and the responsibility of NCOs and officers to build a formation that doesn't simply comply with standards, but understands why those standards keep soldiers alive and make them lethal.When the call comes, there won't be time to prepare. 18th Field Artillery Brigade has to be ready.Highlights00:00 Introduction01:12 Mission of the 18th Field Artillery Brigade04:16 NCO Leadership and Force Readiness05:38 Subordinate Units and Capabilities09:55 Refocusing on Core Field Artillery Basics13:49 Passing Down Lessons Learned14:40 Interoperability and Special Operations Forces Integration22:31 What Separates the 18th FA Brigade24:58 Joint Force Integration26:15 Modernization, Innovation, and Ammunition Investment30:15 Drone Warfare and Signature Management36:02 Culture of Commitment and the Warrior Mindset41:15 Driving Decision-Making and Warfighting ReadinessQuotes“We have to be ready to deploy, fight, and win within 10 days of notification.”“We are the Army's largest HIMARS brigade with 54 HIMARS launchers.”“We're going to first look to strip away adversary air defense and then kill what's killing us.”“It's much more effective to destroy a launcher than to try to intercept an incoming missile.”“Divisions are maneuvering in order to fire.”“We now have to be prepared to operate in a completely transparent battlefield.”“What we're trying to do is avoid being at this point on the Earth where the enemy missile hits when it hits.”“Shoot, move, communicate, clean up our electromagnetic spectrum.”“Making sure soldiers understand the visibility of their signature.”“Be more survivable, which then lets us be more lethal, because we're able to retain more combat power.”Follow the Jedburgh Podcast and the Green Beret Foundation on social media. Listen on your favorite podcast platform, read on our website, and watch the full video version on YouTube as we show why America must continue to lead from the front, no matter the challenge.The Jedburgh Podcast is brought to you by OneBrief; enabling military leaders to make innovative, informed and deliberate decisions faster than ever before. Superhuman command wins wars.

In this episode, Lex chats with Edward Woodford — Founder and CEO of zerohash, a crypto and stablecoin infrastructure platform that lets banks, brokers, and fintechs embed digital-asset trading, payments, and tokenization through a single API. Four years on from their last conversation, zerohash has settled over $65 billion in volume across 7 million customers, gone global under MiCA and EMI licensing in Europe, and onboarded institutions like Morgan Stanley.They discuss the pivot from embedded crypto to pure-play B2B infrastructure, and why the product zerohash actually sells is trust — with licensing treated as a bar, not a goal — in a world where state actors are now the primary threat.Edward breaks down the three core rails (Trade, Transact at roughly 70% of revenue, and Tokenization), and unpacks the emergence of "on-chain money" as a legally fragmented category — stablecoins under GENIUS, tokenized deposits, tokenized money-market funds, and CBDCs, each a distinct form of dollar created inside twelve months. They explore how velocity of money and just-in-time funding reshape SME payroll, why the new Auth product aims to be the open banking of stablecoins, and where the industry sits on an S-curve Edward insists is still nowhere near maturity. Finally, they take a skeptical pass at the machine economy, landing on agent-to-knowledge payment — not consumer micropayments — as the durable intersection of stablecoins and AI, and on the convergence that will pull traditional and crypto-native payment firms into aggressive consolidation.We recorded the podcast earlier in the year, and everything that Edward teased in his conversation has come to market. The E-Trade integration is live. The staking infrastructure has launched. The Treasury published the first proposed rules under the Genius Act, so you can see how those predictions came to market. Also, Stripe and Visa answered his M&A predictions with something even bigger: 140 Company Stablecoin Consortium.NOTABLE DISCUSSION POINTS:Trust is the product; licensing is just table stakes. Edward's sharpest framing is that “licensing is a bar, not the goal” - getting licensed actually opens you to new risks to manage at scale. For an FI like Morgan Stanley, whose crypto revenue is trivial next to tens of billions in quarterly profit, the deciding factor isn't upside but de-risked entry: FIPS/government-grade compliance, an eight-year clean track record, and a threat model that now treats state actors as the primary adversary.“On-chain money” has fractured into distinct legal categories in under a year. Post-GENIUS and MiCA, stablecoins (backed 100% by short-term government debt) are now legally separate from tokenized bank deposits (e.g. JPMorgan), tokenized money-market funds, and CBDCs - each a different form of dollar. Edward predicts this taxonomy keeps multiplying, and treats the resulting complexity, including cross-chain stablecoin interoperability, as a widening moat rather than a nuisance.The real AI-stablecoin use case is agent-to-knowledge payment, not micropayments. Edward pushes back on the popular “sub-penny real-time micropayments” narrative - invoking iTunes, where payments got batched rather than charged per song. The durable edge, he argues, is a globally programmable rail where an agent in Mozambique can settle with a content creator in Brazil, with knowledge released on a DvP basis as payment clears. Sub-penny amounts get aggregated into daily or weekly batches.TOPICSStablecoins, EmbeddedFinance, Tokenization, DigitalAssets, Payments, GENIUSAct, MiCA, AgenticPayments, DeFi, RWA, Web3, Fintech, zerohash, MorganStanley, Gusto, Stripe, Circle, Tether, Plaid, Mastercard ABOUT THE FINTECH BLUEPRINT

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Daniel Segundo to discuss why today's social networks have evolved into entertainment networks and how Daniel is building Bien, a social app focused on depth over breadth. Daniel shares his journey from trading commodities to creating a platform designed to keep users genuinely connected to their inner circle, inspired by insights gained while meditating in caves in India. The conversation covers everything from the problems with the "like button" and algorithmic feeds to Daniel's contrarian approach of removing public-facing engagement metrics and using voice notes as the primary interaction method. They also explore the challenges of building consumer social products, the impact of AI on development, and Daniel's philosophy drawn from Eastern mysticism and his study of Ramana Maharshi. To learn more about Bien, visit bien.social or follow Daniel on Twitter at @DanielPSegundo.Timestamps00:00 Daniel introduces Bien as a real social network, contrasting entertainment networks disguised as social platforms05:00 Building with AI tools allowed bootstrapping the app before hiring a five-person team for professional development10:00 Social networks evolved into entertainment networks optimized for engagement and advertising rather than genuine connection15:00 The advertising model incentivizes dopamine delivery and algorithmic content over posts from actual friends20:00 Removing the like button and public comments forces deeper interaction through private voice notes instead25:00 Social graphs become stale over time because unfriending feels awkward, so people curate for weakest relationships30:00 Matrix and Nostr protocols enable interoperable messaging, suggesting a Cambrian explosion of new social apps35:00 Depth matters more than metrics—success means users actually feel closer to their inner circle40:00 Voice notes combined with photo sharing mimics natural storytelling behavior when friends gather in person45:00 Meditation in Ramana Maharshi's caves in India inspired reflections on silence, self-inquiry, and building products mindfullyKey Insights1. Daniel Segundo was inspired to create Bien after recognizing that existing social networks excel at breadth but fail at depth of connections. While meditating in caves in South India, he went through his phone contacts and realized only about 5 percent of his 1,700 contacts were people he actually wanted to stay close to, with the remaining 95 percent being noise. He saw that tools like Facebook, Instagram, and WhatsApp have solved the problem of maintaining surface-level relationships across broad networks of people, but there was no good tool for maintaining deep connections with your inner circle beyond basic messaging apps like iMessage or WhatsApp, which still suffer from having too many contacts with access.2. The fundamental problem with current social networks is that they have become entertainment networks rather than true social networks, driven by the advertising business model. Instagram only shows content from your actual friends about 7 percent of the time, with the rest being algorithmically suggested content designed to maximize engagement and ad revenue. The like button, while useful for maintaining broad social graphs and understanding your status in larger groups, reduces complex human relationships to superficial interactions. This creates what Segundo calls a circus-like experience where you are constantly bombarded with entertaining content rather than meaningful updates from people you care about, and the advertising model incentivizes this transformation because the product is ultimately about delivering dopamine to keep people scrolling.3. Bien removes traditional social media features like public likes and comments, replacing them with private voice note responses capped at 60 seconds. The theory is that hearing three voice notes from close friends provides more genuine connection than receiving 300 likes on a post. This design choice stems from recognizing that while the like button serves a useful function for breadth-first social networks where people want quick validation from large peer groups, it is completely inadequate for depth-first relationships. By forcing more intimate and effortful interaction through voice, Bien attempts to upgrade the quality of connection rather than the quantity, building off existing habits like sending voice notes to close friends rather than trying to create entirely new behaviors.4. The traditional follower-following model creates stale social graphs because people are uncomfortable unfriending or unfollowing others as relationships naturally evolve over time. Instead of this model, Bien uses a system where each user maintains a private list of people they want to stay close to, and if two people have each other on their lists, they see each other's content. This eliminates the social awkwardness of unfriending someone while allowing social graphs to naturally evolve. The current model forces people to curate their sharing based on the weakest relationship in their network because they do not want to offend distant connections or go through the work of managing close friends lists, which results in less authentic sharing overall.5. Segundo is building Bien on a paid subscription model rather than an advertising model to align incentives directly with users. He believes no one can build a compelling social network on the advertising model anymore because it creates conflicting incentives where the company must serve both advertisers and users, ultimately degrading the product into what he calls slop. The straightforward deal with customers is that if the product cannot provide value equivalent to the price of a cup of coffee per month through premium features, then there is no justification for the business to exist. This allows Bien to focus solely on whether users feel closer to their inner circle after using the product rather than optimizing for maximum scrolling time.6. Segundo bootstrapped the initial development of Bien using AI coding tools like Replit before hiring a team of five people to develop it professionally. He notes that with current AI tooling, if you can think clearly and understand the problems you are trying to solve, you can build solutions much more cheaply than even five or ten years ago. He eventually hired a designer and iOS and web developers to do things properly with a do it right or do not do it at all mindset. The app is currently iOS-only, built in Swift for a premium experience, with plans to potentially build a React Native version for Android if there are stronger signs of product market fit.7. Segundo's background in trading commodities and futures, along with his deep interest in Eastern philosophy and self-inquiry practices, significantly influences his approach to building Bien. He spent time studying Ramana Maharshi and practicing meditation in caves at Tiruvannamalai in South India, which he says has a profound impact not just on spiritual practice but on thinking about product development and participating in markets. His experience with a major trading drawdown in 2025 after running up a small account 25 times led him to this period of reflection that ultimately resulted in the conception of Bien, demonstrating how his various interests in trading, philosophy, and technology intersect in his approach to building a depth-first social network.

When EHR vendors, AI tools and interoperability mandates collide, who comes out on top? And how does that outcome affect providers and, more importantly, consumers? David W. Johnson and special guest Robert Pearl, M.D., hashed it all out on, "AI Innovation Creates an Interoperability Challenge of Epic Proportions," a special extended episode of the 4sight Health Roundup podcast, moderated by David Burda.

It's our 100th episode! And we're flipping the script: Stephen Goldsmith is the guest, not the host. And he shares stories that completely reframe how cities should think about technology — from a 1970s bot that shattered assumptions about poor people using tech, to why AI alone should never drive government decisions, to the importance of bench marking the status quo. In this episode, you'll learn: How to separate the AI hype from actually helpful AI uses (hint: it starts with a question). Why Goldsmith rejected patronizing attitudes around technology adoption, and proved detractors wrong. The distinction between "residents" and "customers," and how that changes everything about how you budget and design. How to give public servants back time and respect, rather than saddling them with meaningless tasks and paper pushing. Why your old, top-down performance management system is dead and why you need a new, democratized model. Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

Healthcare doesn’t lack data. The challenge is connecting it. In this episode of Technovation, Mouli Venkatesan, EVP and Chief Information & Technology Officer of the Blue Cross Blue Shield Association, joins Peter High to discuss how interoperability, AI, and shared technology foundations can help create a more connected healthcare system. Mouli explores how the Blue system balances national scale with local delivery, why longitudinal data matters to value-based care, and how BCBSA approaches AI through mindset, “heart set,” tool set, and skill set. He also explains why responsible AI begins with strong data governance and human involvement in clinical decisions. The conversation also covers AI workforce development, build-buy-partner decisions, process improvement, and leadership through influence across independent organizations. This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io This episode is also presented by Retool — Build internal software better, with AI. Learn more at retool.com

For the 200th episode of the Healthcare IT Today Podcast, I am joined by a very special guest host— Sagnik Bhattacharya, CEO at Rhapsody, the sponsor of this episode— to discuss what is holding AI back in healthcare! We kick this episode off by sharing what has surprised us most about AI adoption from the years of AI experimentation. Then we discuss where healthcare really is today. Next, we dig into why so many AI initiatives are succeeding in pilots but are struggling to scale. We then debate whether or not the industry is focusing too much on models and not enough on infrastructure, data, and operational readiness. Lastly, we wrap this episode up as we discuss what healthcare organizations need to do now to prepare for the next phase of AI innovation and more autonomous and agentic workflows. Thank you to this episode’s sponsor, Rhapsody. Interoperability is hard to say, and even harder to do. Rhapsody makes it easy. Built exclusively for healthcare, Rhapsody helps organizations connect systems, activate trusted data, and reduce the burden of integration so teams can move faster with confidence. Trusted by more than 1,900 healthcare organizations worldwide and ranked #1 in Best in KLAS for integration for 17 years running, Rhapsody is helping healthcare organizations build an AI-ready foundation for what’s next. See where you stand. Get the Rhapsody State of Interoperability report at interopreport.com. Here's a preview of the topics and questions we discuss in this episode: After several years of AI experimentation, what has surprised you most about AI adoption, and where is healthcare really today? Why are so many AI initiatives succeeding in pilots but struggling to scale? Is the industry focusing too much on models and not enough on infrastructure, data, and operational readiness? What do healthcare organizations need to do now to prepare for the next phase of AI innovation and more autonomous and agentic workflows? Now, without further ado, we’re excited to share with you the next episode of the Healthcare IT Today podcast. We publish a new Healthcare IT Today podcast every ~2 weeks. Thanks to our friends at Healthcare Now Radio, you’ll be able to listen to the latest episodes of Healthcare IT Today on their radio station for the first two weeks. Then, we’ll be publishing each episode as a podcast and YouTube video here after it finishes on the radio. You can also subscribe to the Healthcare IT Today podcast on any of the following platforms: Apple Podcasts Google Podcasts Stitcher Podcast Radio TuneIn Spotify iHeartRadio Pandora Thanks for listening to Healthcare IT Today and if you enjoy the content we’re sharing, please rate the podcast on your favorite podcasting platform. Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube. Plus, all of the audio and video versions will be made available to stream on HealthcareITToday.com. If you work in Healthcare IT, we’d love to hear where you agree and/or disagree with the perspectives we shared. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, with @Colin_Hung or @techguy on Twitter, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes. Thanks so much for listening! Rhapsody is a proud sponsor of Healthcare Scene. Listen to Our Latest Episodes:

35 views Aug 24, 2026 In-person video interviews"Interoperability isn't failing — it's underfunded." Herko Coomans on standards as public infrastructure. Most interoperability conversations start with what's technically broken. This one starts by rejecting that framing. Herko Coomans argues that health data exchange is a wicked problem rather than an unsolved engineering task, that the real constraint is infrastructure funding and governance, and that the moment governments mandated standards, they took on a public accountability they haven't yet resourced. We cover the closing post-COVID funding window, what EHDS implementation actually looks like inside a country that has no national health data authority, why the EU started its data union with health, and where AI genuinely helps interoperability — and where it quietly doesn't. GUEST Herko Coomans — International Digital Health Coordinator, Ministry of Health, Welfare and Sport (VWS), the Netherlands; interoperability lead, Global Digital Health Partnership (GDHP) Host: Tjaša Zajc WHAT THE CONVERSATION COVERS Why interoperability is a "wicked problem," not a failure — and why it was never all-or-nothing Interoperability as an infrastructure funding crisis rather than a technical one The closing post-pandemic window for digital health investment Why healthcare executives are asking the ministry to be MORE directive on standards What changes when standards become law: parliamentary questions about SNOMED CT and nursing terminology Who funds SNOMED CT, HL7 FHIR and IHE for the next 20–50 years The national FHIR profile problem: why a Dutch profile may not work in Germany From product implementation to integration: national platforms as an emerging concept GDHP explained: 44 countries, 40%+ of the world's population, no legal existence by design The global stewardship gap after US and Argentine withdrawal from the WHO The International Patient Summary in practice — Canada, Brazil, and QR-code patient summaries at the Hajj EHDS implementation reality check: 2027, 2029, 2031 deadlines and national health data access bodies Why the EU chose health as the first pillar of its data union — and what Brexit had to do with it AI and interoperability: ambient scribes, ontology reasoning, and why a plausible SNOMED code isn't a correct one The OECD's interoperability valuation: 2.7–6.6% of annual health expenditure Shifting from project funding to sustainable public infrastructure funding for standards CHAPTERS 00:00 Interoperability in 2026: what are we still not getting? 01:06 The pushback: a wicked problem, not a failure 05:50 Why interoperability is an infrastructure funding problem 10:25 Who owns integration? From product rollout to national platforms 16:32 When standards become law: parliament, nurses and SNOMED CT 19:01 National FHIR profiles and the interoperability they don't deliver 25:49 GDHP: 44 countries, 40% of the world, no legal existence 30:52 The Dutch chairmanship and the handover to Portugal 35:35 The International Patient Summary in Canada, Brazil and Mecca 39:52 EHDS reality check: European excitement, national scrambling 47:41 Why the EU started its data union with health 50:58 AI and interoperability: "not the magic, but the magician" 1:00:06 The OECD number: what interoperability is actually worth MENTIONED OECD, "Interoperability in healthcare: Towards an interconnected future" (Health Working Paper No. 197, July 2026) International Patient Summary (IPS) — HL7 FHIR, CDA, ISO, SNOMED Global Patient Set, IHE European Health Data Space (EHDS) • 21st Century Cures Act • My Health Record legislation (Australia) • Ayushman Bharat Digital Mission (India) FACES OF DIGITAL HEALTH Podcast: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn:   / faces-of-digital-health   Apple Podcasts: https://podcasts.apple.com/us/podcast...#interoperability #EHDS #digitalhealth #healthdata #FHIR #SNOMEDCT #healthpolicy #healthIT #GDHP #healthcareAI #europeanhealthdataspace #InternationalPatientSummaryInteroperability Isn't Failing — It's Underfunded (Herko Coomans)

The following article of the AI Cloud & Data industry is: 'Digitizing Government. AI Agents and Secure Interoperability' by Fernando Arditti, Vice President and General Manager, LATAM, WSO2. 

Could allowing patients to choose their own appointment times help reduce missed visits and shorten NHS waiting lists? In this episode of Tech Talks Daily, I speak with Alison MacDonald, European Lead and Senior Vice President at Nordic Global. Alison brings an unusual combination of clinical and technology experience as a registered nurse who moved into digital health over 15 years ago. Her career began in community nursing, where she was asked to lead an electronic health record project because colleagues thought she was good with computers. What initially appeared to be a simple exercise in converting paper forms into digital records encouraged her to question whether healthcare could redesign the process rather than copy it onto a screen. We discuss Nordic's work with Cambridge University Hospitals NHS Foundation Trust on patient self-scheduling and automated earlier appointment offers. Before the program, missed outpatient appointments were removing valuable clinical capacity while administrative teams spent time calling patients and rearranging bookings. Cambridge introduced self-scheduling through Epic MyChart, allowing patients to select appointment times through the patient portal. Alison says the DNA rate fell from 5% to 2.2% during the program. According to the supplied results, over 20,000 patients successfully scheduled their own appointments and over 3,000 accepted offers to attend earlier when cancellations created availability. Patients moved appointments forward by an average of 16 days. Forty percent of accepted earlier appointments occurred within seven days of the offer, while 7% took place on the same or following day. Administrative teams also saved an estimated ten minutes for every self-booked appointment. Alison explains why patient control can improve attendance. People can choose times that work around employment, caring responsibilities, travel, and family life instead of receiving a fixed appointment through a letter or telephone call. Patients can also cancel or reschedule without waiting for somebody to answer the phone. The operational lesson goes beyond appointment booking. Healthcare systems may be able to recover existing capacity by examining missed appointments, theater scheduling, waiting list processes, pre-visit questionnaires, and patient communications before concluding that every problem requires additional staff or facilities. We also discuss where AI is producing practical results in healthcare. Alison points to medical imaging, emergency department triage, waiting list management, clinical documentation, and workforce deployment. She warns against discussing AI as one generic solution because each application requires a defined use case, suitable data, workable processes, governance, and staff adoption. Ambient clinical documentation offers one example. An AI scribe can record a consultation, prepare a structured note, and pass it to the clinician for review and correction. Alison cites an NHS evaluation reporting a 23.5% increase in direct patient interaction time and an 8.2% reduction in appointment length. Interoperability remains another major challenge. Healthcare journeys cross hospitals, primary care, community services, and specialist providers that may use different systems or a mixture of electronic and paper records. Even basic differences, such as one organization measuring pain on a five-point scale and another using ten points, can prevent reliable comparison. Alison recommends agreeing on common data standards, defining the minimum patient information required during care transitions, including interoperability requirements in procurement, and avoiding bespoke integrations that make future information sharing harder. Digital access also requires balance. Online services can improve convenience, but healthcare providers must retain appropriate alternatives for patients who lack digital skills, connectivity, confidence, or access. Could your healthcare organization improve patient access and staff capacity by redesigning one familiar process before purchasing another large technology platform? Listen to the episode and share your thoughts with me.

Where did an item go, what happened to it along the way, and is it still in the condition a customer expects? In this episode, Reid Jackson chats with Amir Khoshniyati, Vice President at Wiliot. Amir explains how Wiliot describes physical AI for everyday assets: battery-free tags can give products and containers a digital identity, while Bluetooth Low Energy connections capture signals such as location, motion, temperature, humidity, and light exposure. That information can help teams see what happens between facilities where traditional tracking can lose sight of an item. The discussion also covers how physical AI can work alongside RFID, barcodes, QR codes, existing readers, ERP systems, and warehouse management systems rather than forcing companies to replace prior technology investments. Amir shares five core use cases—departure, receipt, condition, location and cycle count, plus visibility into reusable transport containers, and explains why food, grocery, CPG, automotive, logistics, healthcare, and 3PL operations are strong candidates for this approach. Looking ahead, Amir sees lower tag costs, broader deployments, and assets that may one day communicate with one another. For supply chain teams, the bigger idea is simple: better item-level data can support earlier decisions when products are delayed, misplaced, exposed to the wrong conditions, or headed to the wrong destination.   In this episode, you'll learn: How physical AI can track an item's location and condition across the supply chain Why lower tag costs could expand item-level visibility across more industries How condition history can add context that inventory data alone may miss   Things to listen for: (00:00) Introducing Next Level Supply Chain (03:23) Wiliot's physical AI platform for everyday assets (05:00) From IoT and ambient IoT to physical AI (09:01) Filling supply chain data blind spots (10:17) Brownout spots between facilities and in transit (12:26) Five core use cases for item and container visibility (14:48) Where Wiliot sees adoption across industries (18:05) How physical AI can coexist with RFID, barcodes and QR codes (22:10) Interoperability, standards and building on existing investments (25:01) What supply chains could look like over the next five years (29:52) Condition-aware perishables and product safety questions (31:54) Amir's favorite technology (32:41) What Amir wants to learn next   Connect with GS1 US: Our website - www.gs1us.orgGS1 US on LinkedIn Connect with the guest: Amir Khoshniyati on LinkedInVisit Wiliot at https://www.wiliot.com/ 

In this episode, Jessica Wilson discusses the importance of smart pump interoperability in infusion therapy, its impact on patient safety, workflow efficiency, and future innovations in health care technology. Sponsored By:

Send us Fan MailA patient's right to control their own health data now depends almost entirely on which state they live in or happen to seek care in. The patchwork is growing, and the clinical and compliance consequences are catching up fast.Leigh Burchell, Vice President of Policy and Public Affairs at Altera Digital Health and Chair of the Electronic Health Record Association, joins host David E. Williams to discuss why states moving in opposite directions on sensitive health data are creating real patient safety risks, and what it costs EHR vendors in hundreds to thousands of engineering hours every time another state writes its own version of the rules.

Recorded live at SOMA 26Pierre Pasquier (France) and his German counterpart deliver a clear-eyed assessment of how European military medical systems are preparing for large-scale combat operations and major engagements, drawing heavily on lessons from Ukraine. They examine the scale of expected casualties, the return of mass-casualty and prolonged-care realities, the threat of multi-drug-resistant organisms, the vulnerability of medical treatment facilities to deliberate attacks, and the urgent need for true multinational interoperability. The discussion covers doctrine updates, shared training, data collaboration, civilian-military integration, and the strategic value of medical readiness as a deterrent. Sponsored by the Special Operations Medical Association.Key TakeawaysUkraine has demonstrated casualty rates of several hundred per day—orders of magnitude higher than Iraq/Afghanistan—requiring European medical systems to plan for mass casualties, prolonged field care at scale, and significant disease/non-battle injury burdens, including older soldiers with chronic conditions.Multi-drug-resistant bacteria are already arriving in European hospitals via Ukrainian patients; mass-casualty flows will amplify this biosecurity challenge and demand coordinated infection-control strategies.Systematic attacks on healthcare facilities necessitate a shift to flexible, mobile, low-signature medical treatment facilities that can hide and defend themselves—something current large Role 1–3 structures are not yet optimized for.Lessons from long-evacuation environments (e.g., Sahel) must now be scaled from a handful of patients to dozens or hundreds simultaneously; prolonged care is no longer an exception but a planning assumption.True interoperability requires shared language, clear capability definitions across nations, joint data collection and analysis, and training that moves beyond parallel national exercises to actual patient and team cross-flow.Germany is positioned as a key NATO medical hub for strategic evacuation; France is actively building civilian-military pathways so that civilian systems can absorb returning casualties while military teams remain forward.Medical superiority and demonstrated preparedness function as a strategic deterrent; “stronger together” through SOMA, CMC, shared science, and multinational training is essential.Chapters00:00 – Introduction and European context01:50 – Ukraine as the current laboratory and weekly French/German learning process03:10 – NATO Eastern Front realities and multinational medical challenges05:00 – Casualty rate comparisons: WWII → Ukraine and implications for doctrine07:00 – Disease, non-battle injury, and the multi-drug-resistant bacteria threat09:50 – Attacks on healthcare facilities and the need for mobile, low-signature MTFs12:20 – Lessons from the Sahel: prolonged care scaled for LSCO14:50 – Interoperability experience and the value of shared data and science17:40 – Changing mindsets, nomenclature, and national doctrines (French Sauvetage au Combat update)21:40 – Training together: Vigorous Warrior and the next steps for joint exercises23:10 – Strategic MEDEVAC, Germany as hub, and civilian-military integration25:10 – Take-home messages: new/old challenges, medical superiority as deterrent, stronger together27:20 – Q&A: hospital capacity concerns and integrating U.S. physician assistants

ASN CEO & EVP Tod Ibrahim and Sr. Policy & Govt. Affairs Coord. Lauren Ahearn discuss an upcoming opportunity for the kidney community to get involved in a federal data standardization and interoperability initiative and the 2026 NBLU conference.

ASN CEO & EVP Tod Ibrahim and Sr. Policy & Govt. Affairs Coord. Lauren Ahearn discuss an upcoming opportunity for the kidney community to get involved in a federal data standardization and interoperability initiative and the 2026 NBLU conference.

According to Gartner, worldwide AI spending is forecasted to increase 44% by the end of 2026. Companies are investing in AI, and they are investing heavily. But knowing where and how to invest isn’t easy, especially with what feels like a million different AI tools out there and a million more different ways to build your own. So how do you figure out what to build, what to buy, and which investments will help you move the needle for your business? Riley Rogers: Hi, and welcome to the Win/Win Podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. Here to discuss this topic is Cody Sims, head of commercial brand at Cox Communications. Cody, thank you so much for joining us today. Super excited to hear your thoughts on this one. Before we dive into what is quite a loaded topic, could you tell us a little bit about yourself, your background, and your role? Cody Sims: Yeah. So, hi, I’m Cody. I’m the head of commercial brand for Cox Communications, and it’s kind of crazy how I came into this role. So I actually started my career when I was 15 and was installing phone systems for my dad’s phone company. And after that, I had actually had two parts of what I thought was what I wanted to go into, and that was either musical theater or physics, because those were two things I really had a passion about. And when I got into college and had musical theater as my major and physics as my fallback, I realized that both of them left a part out of what I really enjoy. And so I ended up actually landing in marketing because it’s both analytical and creative, and that has served me really well over the years. So, across Cox, I have done all kinds of things from product management to market development to pricing to competitive analysis, and now in the brand world. It’s given me kind of a 360 view of the entire business from a marketing lens. I would say that I’m pretty much a transformation leader. I really enjoy breaking things and building them up new again. So, AI is happening right at the right time for me. RR: I love that story, and I love that it’s taking you to a place that especially now is getting more and more technical, more and more analytical. I’m very excited to get into that transformation leader side of things. But before we do, can you paint a little bit of a picture of your sales environment? CS: Yeah. So when I first came to Cox, it was very similar to most of what you would call a CLEC, or a competitive local exchange carrier, which is primarily internet service, voice services, and obviously because it was Cox, some cable TV services that were the triple threat. That was kind of what in the early 2000s was kind of the way that they went to market. But over time, the team at Cox realized that in order to stay competitive, they had to add to the portfolio to make sure that they were providing value to their customers, and I’m sure many would understand that and have gone through similar transformations. And so we had acquired several different other companies that added to our portfolio, and developed some of our own products, and over time that turned into a lot of products. But it’s not just 70 products. It’s 70 products, it’s nine customer segments that we have from a segmentation perspective. It’s six distinct buyer personas, industry verticals, what’s serviceable at that address. So you take all of these different components and it’s almost like three-dimensional chess for the salesperson. The way that I like to think about it is that the sellers, what they really need and what their challenge is, is that they’re not looking for specs. They’re looking for what are the business outcomes that my customer is trying to achieve, and then what do I have from my portfolio that will help them to achieve those results? So it’s no longer a world where they can memorize everything and know every product in and out, and be the technical expert. They really do have to have tools and systems that help them to have the right knowledge at the right moment for the right person in the right place. RR: Yeah, there comes a point when the human brain just can’t contain the context and the expertise that you need. So when you can’t ask for expertise, what you can do is provide, to your point, that just-in-time support. And one of the things that you alluded to was that that’s where you kind of started some of that AI investment as a way to bridge that gap. You’ve given us a little bit of a taste, but what kind of motivated that early initiative? CS: Well, I would say that, over time what we discovered was that we couldn’t keep track of all of our marketing materials, collateral, all of the pieces of information in just files, formats, and putting it online into a here’s-an-accessible-library. Because the library just becomes bigger and larger and more difficult to manage. But I would say that we didn’t set out to do AI. We didn’t sit down and say, “Oh, hey, AI looks cool. Let’s make sure we’re doing it.” We needed to transform our go-to-market strategy so that we were more nimble, we were more competitive, and that we could deliver the kind of experience that our customers were asking for. And so AI was the mechanism that would help us to get there. But what really triggered this whole thing was what I mentioned earlier, was our segmentation. When we sat down and said, “Let’s rebuild the way that we look at our audience segments,” and we did that based off of what is the value to Cox of each of these customer profiles, and then what is the technology sophistication of that client, of that business. And that intersection allowed us to create our nine different segments that we were working on. And so when we did the math, when we looked at all of that information and all of the things that we needed to be able to provide to those segments, we realized this was quickly going to turn into something that was far beyond any marketer’s ability to do. But what we knew is that the Gartner information we were tracking said that personalization was having much higher returns on the way that people respond to information. And not only that, but if you do personalization and you get it wrong, if I call you and I say, instead of, “Hey, Riley,” and I say, “Hey, Jonah,” you’re like, “Hmm, nice try.” So personalization is really important to being successful, but getting it right is even more important. So we realized that we needed to have some radical partnership between our marketing, AI, and sales teams, that we needed to make sure that this was not just an IT project, that we were going to go and pull a bunch of requirements together and everybody would be like, “Oh, hey, here’s this new tool. Everybody figure out how to use it.” And it wasn’t necessarily about optimization. It was about transformation, the way that we go to market, the way we think about our customers, and the way we show up. So I would say that AI definitely was part of the solution set, but we had to look ourselves in the mirror and say, “It’s time for us to actually think about this in a completely different way.” RR: That distinction comes through very well, and I think is very important because oftentimes when you’re in kind of the scramble to be keeping up with the market, keeping up with your competitors, there is this urge to just tack on AI because we have to. But when it’s not strategic and it’s not built into the things that you’re actually doing, to your point, it’s we put together some specs, good luck using it. But instead, now it’s something that’s really built into the way that you work. I would love to hear a little bit more about that specific use case, especially given the fact that a lot of teams are running into that question of how do we use AI and can we just build what we need ourselves? Given that you’ve done the math, answered the question, I’d love to hear how it worked and kind of where you landed. CS: It’s very easy to fall into the trap of, “Hey, everybody, here’s AI. We put it on your computers, now go use it.” And so then everybody starts using AI to try to figure out, how does this help me in the job that I already do, in the role that I already do, in the processes that I already do? And so then it really limits the impact that it can have on the business and the performance because either, A, you have a handful of people who are really smart, and they go crazy with it, and they create their own thing, or you have a bunch of people who are looking at it going, “Okay, came up with some ideas, but I still have to do my work.” What you end up with is there’s no standard. There’s no flag running up the hill to say, “Everybody follow me. Let’s go do it this way.” So, it required both the yes, we had to make sure that the teams were bought into using AI, but we also had to have a standardized way of approaching how we deploy AI. And that brought us to the question of do we buy or do we build? And because there were so many different parts of what kinds of functionality we needed, it wasn’t the same answer for every one of those needs. So in some cases, we have a tool, we have a partner, they already have AI integrated into their platform, let’s go see how we can use that. In other cases, and I’ll give you an example, in the case of content generation, that is where we started with our AI journey about a year ago. We sat down and started interviewing and reviewing all of the different providers who can do content generation. Every one of them had a different approach to content development, content generation, which were all very good, and they attempt to make sure that they are covering as much of the marketplace as possible. And so sometimes when you buy that, you end up with features maybe that you don’t need, and you also have to still go through the process of integrating those platforms into your security posture. So us being a connectivity provider for governments, for major corporations, enterprise carrier grade, we have a very, very strict and strong security policy, which means that when we bring new vendors on, it takes a lot of time and a lot of effort and a lot of back and forth. And so what we found in certain cases, it was actually better for us and more beneficial for us to build the actual platforms that we needed for that particular use case. But like I said before, in other situations, we found that there was a partner who we had who already had AI integrated into their platform, and so they were already part of our security posture. They were already inside of our ecosystem. So the question of build versus buy really had to do with time, had to do with return, and it had to do with the security measures that we had to put in place. RR: Thinking about in addition to those factors, when you’re evaluating these things that you outlined, time, potential cost, security, how are you kind of doing that ROI math to say one is going to be better than the other? CS: There’s several different parts of that. And like I mentioned, we wanted to make sure that we were following our AI strategy foundation that said, we don’t want to introduce more and more vulnerable access points. And so it’s important for us to make sure that we are all coming together with everyone across the Cox leadership team according to who are the vendors that we feel the safest with, that we can go set up and make sure that we are pulling together the best of the breeds. The assessment, like I mentioned before, is what is the value that we’re returning to the business in terms of revenue generation, new customers, cost savings in terms of not necessarily just reducing people’s time, but redeploying people to doing other important tasks. And then what are the things that we are doing that help us to keep the system all working together? So, revenue generation, cost deferment, and then keeping a cohesive connection between all of the different platforms. So some of the things that we looked at from our comparing vendors versus doing DIY, is there a maintenance tail that goes in this? So if we build it, what does that look like in 18 months? How much more people do we have to have to support it? Governance and observability, do we have the permissions, the versioning, the audit trail, all of the parts for discovering what is needed and then able to see it and observe it as we go? Interoperability, as I mentioned before, really important between different platforms that we have, that those APIs and MCPs all work together. And then whose roadmap is this? Is this our roadmap? Is this the IT roadmap? Is this the vendor’s roadmap? If we know where we need to go, is there anything that’s getting in our way of being able to get there? And then of course, obviously the speed to value against the cost of being wrong. RR: And so hearing you outline this very comprehensive list of considerations, you can start to understand why it starts to feel complicated and really hard to tackle. To your point, it’s been a year of figuring it out since you started developing that very first use case. I’d like to go into a little bit of detail about the evaluation piece and deciding what vendors you felt safe with, that you were excited to partner with and continue to either use or build upon as you’re developing your AI strategy in alignment with your business transformation. One of those that you landed on was using Highspot’s MCP server to support some of the workflows you wanted to spin up. How did you make that decision and why did that feel like the way to go? CS: Well, as I had mentioned before, as we had gone through our history of, here’s a library of a whole bunch of stuff and everybody’s trying to find the right item, and it just was such a headache to make sure that we were always getting the right information to the right customers at the right time. And not only that, but we had no real clear feedback about how it was performing. And so at that time, which I believe was in the 2015 to 2017 timeframe, is when we had first started our relationship with Highspot to help us better catalog the library, make it more searchable and usable and referenceable for the sellers to be able to share information and track the information, make sure that it was the most relevant and recent, and then help us to understand what’s working and not working. So all of that was already in place before we even started the AI conversation. And so as we were doing our work around our go-to-market roadmap, we started with content because it was probably the easiest place for us to use AI to generate content, and that looked like a two-layered approach. We had what we called a knowledge base, which is formally putting into AI rules that can be read by AI around all of our standards for brand, for legal, for segment definition, for product information, for pricing and promotion information, industries, verticals. All of that was put at this knowledge base foundation layer. And then we built the content generation engine on top of that, where each of the agents within that tool would go find what it is that the marketer was asking to do, compare it against all the information in the knowledge base, the brand standards, all of those good things, and then produce the content piece that the marketer was asking for using that foundation layer. However, once we got that moving and going, we realized that that level of personalization for marketing could be even more valuable and even more specific when used by a seller. But in order for that to work properly, the seller had to have access to a large range of information all at the same time, including any of the buying signals or online signals that we had through some of our lead generation partners, any of our information that we have within our own systems, like when was the last time they called into billing or when was the last time that they had an outage or what is their general sentiment that the customer has right now. And then all of the information about their current services, their current products, all the things that are going on in their world. But then once we have all of that information, we have propensity to buy, propensity to churn, propensity all these modeling, now we need to be able to talk to them and provide a recommendation to the seller that says, “Here’s what we recommend you use, what you should say, how you should set it up.” And all of that was inside of Highspot. And so we realized again, we could look at this and say, “Are we going to go buy a new platform? Are we going to use a platform we already have or are we going to go build something new?” And obviously when we looked at the Highspot platform, the MCP servers, and the way that it was laid out and set up already, we knew that that was the right path to go. So what we had started with was the content engine, then we went into a sales enablement engine, and as part of that sales enablement engine, the only way for it to work properly was for us to bring in the Highspot MCP service. RR: And how has that been working so far for your sellers? As you’ve rolled this out, how has it been used? Any anecdotal feedback you’ve heard? CS: It’s pretty funny because we have done multiple rollouts of sales enablement platforms over the years, and as anyone who’s ever tried to roll out new sales items and new sales tools will say, it takes time, it takes consistency, messaging over and over. But in this particular case, when we went out and did our roadshow with all of the sellers and sat down and showed them how the new tool worked, there were so many positive responses, and the adoption was much faster than most of our previous releases of other types of products. And I think that the reason why is because it was bringing together all of those pieces of information that I mentioned before and bringing in the Highspot information that they were already very familiar with. And in our world, we call it the sales asset manager, SAM. And so they were very familiar with SAM and then this new tool with the AI capabilities built into it. Now it’s specifically just telling them, “Here’s what you should do. Here’s the way to lay it out, and here’s all the content to talk to the customer about in what order.” And it took a lot of the burden off of them to research, go find a piece, start to build a story in their head, try to build a deck, and then think about what are they going to share with them in what order. So it’s been a huge benefit to the sellers. They’ve loved it. RR: Yeah, that’s such a strong signal when adoption doesn’t feel like a push and more of a grab. Curious if there are any other AI or agentic connectors that you’re pairing with Highspot in another AI application that you think would be interesting to share? CS: We have basically six different programs or parts of our roadmap, and we’re calling them AI modules, and then they work together in different components for different functions that need to be done. So as I mentioned, we have the knowledge base that is the base. Then we have the content creation tool, which we call CAMI. So it’s Content Automation Marketing Intelligence, and that has everything that is needed to produce and create new pieces of content, and then those content pieces are either generated in emails or things like that. A lot of them actually are put into the Highspot tool. And then we have what we call SAMI, which is the Sales Automation Marketing Intelligence, and that is the tool that integrates directly with Highspot to make the recommendations to the seller based off of all of the other information, the 360 view of the customer. We also have what’s called Livia, which is the Lead Validation and Enrichment. The tool uses all of these multiple different access points and different vendors to pull information about that particular contact to validate that it’s accurate, so that by the time it gets to the seller and they’re going to go do a pitch, they have a lot more confidence that who they’re talking to, the business, and it’s at the right address, and prevents them from wasting time. And then, of course, Highspot is such a critical part of how that story all comes together because it’s capturing all the content that’s being created by CAMI, and then the AI that comes from Highspot is infusing into the SAMI tool that the sellers are using. It’s an interesting thing because somebody might say, “Well, you’re not really using Highspot, you’re using SAMI.” And the reality is, well, yes, I am using Highspot because Highspot is feeding all of that into the SAMI tool. There’s a whole bunch of other stuff we add into that for flavoring, all of the information about the customer so that the seller has a 360 view, but that just sets it up. The what do you do next is what’s coming out of Highspot. The next phase of this that we’re going to is a fully agentic approach to our marketing and sales engine. And what that means is that today, most of the work that’s being done is a marketer who is saying, “Here’s what I need to go get done. I’m going to use AI to help me go do it.” We’re going to flip that script, and we’re going to say, the agents that we create are going to do the work, and the marketers are going to instruct the agents on how to do that work properly and watch it and govern it. That will then accelerate for the sellers as well. RR: We’ve heard a little bit about what’s been built in the last year, but it’s, again, to your point, crazy that that’s one year of building, thinking, strategizing, and it’s come to this point. When you look across all of that, what has changed for your sellers and for the business? CS: Well, I would say the first thing is, is that sellers are now able to focus on what they’re really good at. What I mean by that is their confidence is shifted to focus on outcomes and value. They are now able to build trust and provide value, which is honestly what all of our customers, especially our business owners and decision makers are looking for. And then for the marketers, it’s no longer about building a queue, trying to figure out what is the message that’s going to hit the most people with the most response. This idea of efficiency for media or efficiency for marketing materials. It’s like, what is the one message I can send to a million people and have the most response? Well, now you actually can flip that on its ear and say, “I’m going to personalize it at scale.” So that is super exciting. And then the last thing that I would say is that consistency became structural. The same knowledge base, the same rules across every surface, making sure that our content is clean, correct, built on the same policies and rules, but is personalized. Doing those two things at the same time is very tricky, and being able to do it with AI is the only way we could get there. RR: Curious if you’ve seen any sort of measurable returns. CS: Our lead accuracy, like I mentioned before, moving from that 13 to 18% all the way up to the 95th percentile. We have campaign speed to market of improvement of 55%, meaning the amount of time that it takes us to get to market is cut in half. The marketing content teams are 40% more productive, which means they’ve been able to redeploy their time for 40% of the time that they spend at work on other projects, which is amazing. Our conversion rates are up, our driving net new revenue is up, and we have seen material improvement in click-through rates and conversion rates when we are more specific and personalized to the audience. So Gartner was right. Yay. So that’s been really good. And I would say that part of the reason why I think that, at least for part of what we did, doing it as a build ourselves was wise, is because we learned so much by going through the process of just banging our shins on the corners and running into cabinet doors that were open, and we’re just like, “Oh, wow, that was, I did not see that.” So it’s been a huge learning process, a very, very intense learning process, but we’ve all had a really good sense of humor and amusement and just, we are having a ton of fun. RR: And I think that’s one of the more encouraging things to hear. Is that nobody starts perfect, and you just have to build your way up to good. And once you get there, you start to see again, like those measurable improvements. But it is a process. So I guess the message there is stick with it. Which I think kind of feeds into that last question I have for you, which is for anybody who is running into this question, hitting their shins on all of these problems, how would you recommend they approach the question of building, buying, blending some things together when they’re thinking about their AI investments? CS: Well, I would say the first thing is you have to look in the mirror and be real with yourself and say, “Is my processes and workflows working? If I blew up my entire go-to-market, I blew up all my processes, what would it look like?” And don’t start with a tool. Start from a place of what would serve me best. The other part of it that I would say that Highspot did really well is because of the MCP product, I was able to look at it as how am I using this from a plumbing perspective, not just a judgment perspective. And what that means is that it worked well with the strategy and the AI strict rules that we had built for ourselves. Highspot, kudos to Highspot, built a platform that is trusted and that works well with all of the other components that we had flying around, whether it was Salesforce or AWS or even our Accenture development team being able to use the components and pieces to connect to the whole ecosystem. Then the other thing I would say is that even though we’ve been doing this for a year, a year is like eons in AI’s time. It was every other week there was something that changed, something new, something shifted. So you have to go into it with this idea of you have to prepare yourself that this is how I set it up now, but I might have to change it tomorrow, and just be okay with that. So my answer for build or buy, my answer is both. Build the things that make sense for you and where you have the resources and when it’s the right fit. But definitely buy when you are in a partnership or when you have someone that you already know that you can trust. RR: Very pragmatic. That’s kind of the only way to do it. One thing I’ll say, I know I am walking away inspired, and I can imagine our audience is going to as well. So Cody, thank you for the time. I really, really appreciate it. It’s been so wonderful to hear a little bit more about what you’re building. CS: No, I love it. And the reason why this is great for me is that it forces me to think back on this journey that we’ve been on for the last year and really consider what is it that has brought us to where we are, what are the things we’ve learned, and then, maybe how are my bruises doing? RR: Well, thank you for the time again. And to our audience, thank you for listening to this episode of the Win/Win Podcast. Be sure to tune in next time for more insights on how you can maximize go-to-market success with Highspot.

In this week's episode, Dharm is joined by Briana Marbury, CEO of the Interledger Foundation, to explore one of the biggest challenges in global finance today: creating truly interoperable payments that work seamlessly across banks, payment networks, and borders. Drawing on her background in finance and her work leading the Interledger Foundation, Briana explains why moving money across different payment systems remains far more complicated than most people realise, and how open payment protocols could transform financial inclusion, cross-border payments, and the future of digital commerce. The conversation begins with an introduction to the Interledger Foundation and the Interledger Protocol, an open, currency-agnostic payments network designed to connect financial ledgers in much the same way the internet connects information. Rather than replacing existing payment systems, Interledger enables banks, wallets and payment providers to transfer value more efficiently across different payment rails. A major theme throughout the episode is interoperability. Briana explains why many banks and payment providers still operate in isolated ecosystems, making it difficult to move money quickly and affordably between institutions. The discussion explores how open payment protocols could remove many of these barriers while allowing financial institutions to maintain the flexibility to choose their own infrastructure. The episode also examines why smaller community banks often struggle to access modern payment capabilities. Briana discusses how the Interledger Foundation is working with financial institutions, regulators and technology partners to help modernise infrastructure, improve financial inclusion, and expand access to digital financial services for underserved communities around the world. Another key focus is the future of cross-border payments. The speakers explore why international transfers remain expensive, particularly for migrant workers sending remittances home, and how interoperable payment networks could significantly reduce costs while increasing speed and accessibility. The conversation also highlights projects underway in countries including Mexico, Colombia and South Africa to improve connectivity between banks and payment systems. The discussion also explores how open-source technology is driving innovation across the payments industry. Briana explains how developers, universities and financial institutions are collaborating to build new payment capabilities on top of the Interledger Protocol, creating an ecosystem that encourages innovation while remaining accessible to organisations of all sizes. The episode also looks at the rise of streaming payments and programmable money, exploring how continuous, real-time payments could enable entirely new business models, from paying for digital content by the second to more flexible payroll systems and online services. Finally, Briana shares her vision for a more connected financial system where interoperability becomes the foundation for faster, more inclusive and more accessible global payments. For anyone interested in payments, financial inclusion, open banking and the future of digital finance, this episode offers a fascinating look at how interoperable payment networks could reshape the way money moves around the world.

Benjamin and Chance return for another episode recapping the week in Apple news, including the interesting details of Apple's most recent earnings calls, the last of the Tim Cook era. Also, Apple complies with Microsoft's Interoperability request for universal clipboard support on Windows, and John Ternus recruits an employee out of retirement to help lead his new company regime. And in Happy Hour Plus, Chance is battling with HomeKit reliability woes, and ponders whether Benjamin's messaging habits. Subscribe at 9to5mac.com/join. Sponsored by Bitwarden: Check out Bitwarden, featuring secure password management, passkey support, end-to-end encryption, and seamless autofill across all devices. Sponsored by Notion: Learn more about how Notion can support your business, at notion.com/happyhour. Sponsored by Square: Get up to $200 off Square hardware when you sign up at square.com/go/happyhour. Sponsored by NordStellar: Get an exclusive offer: Unlock your 10% discount on NordStellar with the coupon code: nordhappyhour-10-NORDSTELLAR – just mention it to NordStellar!

Most people assume the Canadian healthcare system is highly coordinated because of single-payer funding. The truth is that data exchange across provinces is just as fragmented as it is in the US. Healthcare IT Today sat down with Karen Gauthier, VP of International, and Gurpreet (GP) Singh, SVP for Interoperability Strategy & Solutions at ELLKAY, to discuss their deep roots in Canada. We cover how they help hospitals handle massive EHR transitions and why treating data as infrastructure solves major archiving headaches. You will learn the strategies for cleaning up historical records while giving clinicians easy access directly from their new systems.

Are meeting rooms ready for the next wave of AI-driven collaboration? At InfoComm 2026, UC Today's Marcus Law speaks with Henry Levak, VP of Product at Logitech for Business, about the biggest trends shaping workplace collaboration, from multi-camera meeting spaces to AI-enabled rooms and platform interoperability. Henry explains why organizations are moving beyond simply video-enabling spaces and are now looking at how AI can support meeting-room readiness, scene understanding, workflow consistency, and better experiences for employees, IT teams, and facilities teams. The conversation also explores why customers want simpler interoperability across platforms, how Logitech for Business is approaching flexibility and choice, and why the next 12 months could bring more experimentation before widespread AI adoption reaches every organization.

For the 198th episode of the Healthcare IT Today Podcast, sponsored by Rhapsody, we are talking about leadership succession! We kick this episode off by sharing our thoughts on Sumit Rana leaving Epic. Next, we discuss what we can learn from past leadership successions when a founder or longtime executive steps away. Then, we debate how important the leadership and a succession plan are to customers. Lastly, we conclude this episode by talking about the keys to ensuring a continuous path forward for a company when the founder or a C-level executive leaves. Thank you to this episode’s sponsor, Rhapsody. Interoperability is hard to say, and even harder to do. Rhapsody makes it easy. Built exclusively for healthcare, Rhapsody helps organizations connect systems, activate trusted data, and reduce the burden of integration so teams can move faster with confidence. Trusted by more than 1,900 healthcare organizations worldwide and ranked #1 in Best in KLAS for integration for 17 years running, Rhapsody is helping healthcare organizations build an AI-ready foundation for what’s next. See where you stand. Get the Rhapsody State of Interoperability report at interopreport.com. Here's a preview of the topics and questions we discuss in this episode: What are your thoughts on Epic's Sumit Rana leaving the company? What can we learn from past leadership succession when a Founder or a longtime executive steps away? How important is the leadership and the succession plan to customers? What's the key to ensuring a continuous path forward for a company when the founder, or any C-level executive, leaves? Now, without further ado, we’re excited to share with you the next episode of the Healthcare IT Today podcast. We publish a new Healthcare IT Today podcast every ~2 weeks. Thanks to our friends at Healthcare Now Radio, you’ll be able to listen to the latest episodes of Healthcare IT Today on their radio station for the first two weeks. Then, we’ll be publishing each episode as a podcast and YouTube video here after it finishes on the radio. You can also subscribe to the Healthcare IT Today podcast on any of the following platforms: Apple Podcasts Google Podcasts Stitcher Podcast Radio TuneIn Spotify iHeartRadio Pandora Thanks for listening to Healthcare IT Today and if you enjoy the content we’re sharing, please rate the podcast on your favorite podcasting platform. Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube. Plus, all of the audio and video versions will be made available to stream on HealthcareITToday.com. If you work in Healthcare IT, we’d love to hear where you agree and/or disagree with the perspectives we shared. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, with @Colin_Hung or @techguy on Twitter, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes. Thanks so much for listening! Rhapsody is a proud sponsor of Healthcare Scene. Listen to Our Latest Episodes:

From drone delivery to public safety and defense, the next generation of uncrewed aerial vehicles y better batteries, but by better battery standards. Listen in as we sit down with Jeff Yambrick, Chair of the SAE Battery Cell Size Standardization Committee, and Lisa King, Director of Advanced Battery Strategy at Leap Manufacturing, to discuss SAE JA1016 — a new standard designed to simplify battery integration, accelerate commercialization, and strengthen the UAV supply chain. During this conversation, you'll learn why common battery formats are essential for reducing development costs and creating greater interoperability across commercial and defense applications. We also explore the importance of domestic battery manufacturing, supply chain resilience, and how standardization can accelerate innovation without limiting future battery technologies. To join the SAE Battery Cell Size Standardization Committee, email Dante Rahdar at Dante.Rahdar@sae.org. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today—a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen—and give us a review on your preferred podcasting platform. Follow SAE on LinkedIn, Instagram, Facebook, X, and YouTube. Follow host Grayson Brulte on LinkedIn, X, and Instagram.

Live from the GEOINT 2026 Symposium in Denver, Colorado, Project Geospatial's Adam Simmons catches up with Megan Compton, a key leadership voice within the United States Geological Survey (USGS).In this insightful segment, Megan shares an update on the critical national mapping infrastructure, data delivery models, and cross-agency collaborations that power both the civilian and defense intelligence sectors. Discover how the USGS is scaling its foundational data initiatives—including the 3D Elevation Program (3DEP) and high-resolution hydrography data—to meet the accelerating requirements of modern machine learning and real-time situational awareness.Watch the interview to learn how the USGS is transitioning from static datasets to cloud-native, on-demand visual layers, why open public data remains the bedrock of commercial commercial spatial tech innovation, and what the future holds for public-private data integration.Key Highlights in this Video:00:00:32 – Meet Megan Compton and explore her role within the USGS geospatial portfolio.00:01:20 – The Power of Foundational Data: Why federal, commercial, and defense sectors rely on the USGS bedrock.00:02:45 – 3DEP and Beyond: High-resolution lidar mapping updates across the United States.00:04:10 – Transitioning to the Cloud: Making massive geological and terrain datasets instantly accessible to the edge user.00:05:35 – Interoperability and Standards: How the USGS collaborates with NGA and civilian agencies to eliminate data silos.00:07:10 – Fueling AI Models: Training advanced machine learning engines with pristine, uncompromised public-domain geographic basemaps.00:08:50 – Looking Ahead: Next steps for USGS data collection, remote sensing initiatives, and public accessibility.Learn More About USGS Geospatial Programs:

The global healthcare landscape is being redefined, creating new opportunities for healthcare leaders to improve outcomes and expand access. In this episode we sat down with Eugene Sayan, Founder and CEO of Softheon, to explore how AI is empowering consumers, and driving a new era of innovation across the industry. With more than three decades of experience in healthcare technology, Eugene shares his perspective on the forces transforming healthcare delivery, from patient engagement and personalized care to interoperability, affordability, and the growing role of AI agents. He discusses the shift to a proactive approach that leverages data, automation, and intelligent systems to improve outcomes while reducing costs. The conversation also examines the future of healthcare organizations, the importance of responsible AI adoption, and the opportunities healthcare leaders have to build more connected, sustainable, and patient-focused experiences.  Chapter Timestamps: 00:00 Preview Clip 00:57 Introduction 01:33 Eugene's Background and Journey to Softheon 04:17 Consumer Engagement, Analytics, and Healthcare Innovation 06:29 AI, Personalization, and the Future of Care 09:13 AI Agents, Automation, and the Importance of Human Oversight 12:45 Consumer Empowerment and Rising Healthcare Costs 17:33 Provider Sponsored Health Plans and Value Based Care 18:19 Enabling Healthcare at Home Through Technology 23:18 The Power of Digital Engagement and Automation 24:25 Global Healthcare Innovation and Expanding Access 29:15 Ethical AI, Governance, and the Path to AGI 33:21 Interoperability, Data Portability, and What's Next If you're a healthcare executive, provider, payer leader, or healthcare innovator, this conversation offers valuable insights into the opportunities and challenges shaping the future of care. Connect with Eugene on LinkedIn at https://www.linkedin.com/in/eugenesayan Find Eugene's work at https://softheon.com Subscribe and stay at the forefront of the digital healthcare revolution. Find out why we're the fastest growing digital health channel on YouTube!  The Digital Healthcare Experience is a hub to connect healthcare leaders and tech enthusiasts. Powered by Taylor Healthcare, this podcast is your gateway to the latest trends and breakthroughs in digital health. Learn more about The Digital Healthcare Experience here. Taylor Healthcare empowers healthcare organizations to thrive in the digital world. Our technology streamlines critical workflows such as procedural & surgical informed consent with patented mobile signature capture, ransomware downtime mitigation, patient engagement and more. For more information about Taylor Healthcare, please visit imedhealth.com   The Digital Healthcare Experience Podcast: Powered by Taylor Healthcare Produced by Naomi Schwimmer  Hosted by Chris Civitarese Edited by Eli Banks Music by Nicholas Bach  

Send us Fan MailWhat if the companies profiting most from healthcare's data problem are also the ones best positioned to explain why it needs to be solved?In this clip from our episode “Health Data Is Broken And We're Paying For It”, host John Driscoll and Michael Meucci, CEO of Arcadia, break down why the free market has proven it cannot fix healthcare data fragmentation on its own, and what becomes possible when health systems stop spending so much money just moving data around.Listen to the full episode here

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Aaron Neyer, founder of Parachute and community organizer in Boulder, about knowledge management, extended minds, and the intersection of AI with human consciousness. They explore how Parachute functions as a digital brain tool for organizing thoughts and information across fragmented systems, discuss the dangers of AI psychosis and over-reliance on technology, and debate open source AI development versus controlled releases by companies like Anthropic. The conversation weaves through topics including the limitations of metrics-driven business thinking, consciousness and relevance realization, the value of technological sabbaths, and Aaron's hope for locally-run open source models that protect personal data while still accessing more powerful gated models when needed. You can find Aaron's writing at unforced.org and unforced.substack.com, and learn more about Parachute at parachute.computer and parachute.computer/blog.Timestamps00:00 Stewart welcomes Aaron Neyer, founder of Parachute and Boulder community organizer, discussing the origin of Parachute's name from Frank Zappa's quote about open minds.05:00 Aaron explains Parachute as an extended mind tool for organizing notes, contacts and information across multiple platforms, emphasizing the distinction between primary mind and extended mind as interconnected systems.10:00 Discussion shifts to metrics-driven business culture and the limitations of pure rationality, exploring how Google's data-driven approach misses subjective experience and the whole picture of relationships.15:00 Aaron discusses AI's ability to help identify relevant variables across different domains and the dangers of AI psychosis, comparing it to cult dynamics and belief systems.20:00 The conversation covers AI sabbaths and nineties retreats as intentional breaks from technology, plus Aaron's experiences with electrical engineering and using AI to design circuits with Arduinos.25:00 Exploring forbidden knowledge and open source AI, Aaron discusses Anthropic's guardrails around powerful models while arguing for distributed access to prevent concentration of power.30:00 Deep dive into open source AI strategy, with Aaron highlighting NVIDIA's approach and the potential for running capable models locally while reserving ultra-intelligent models for complex research tasks.35:00 Aaron shares his vision for local Sonnet-class models handling personal data while accessing Fable-class models for deep research, and directs listeners to unforced.org and parachute.computer for his writing.Key Insights1. The philosophy behind Parachute stems from Frank Zappa's quote that the mind is like a parachute and doesn't work if it isn't open. Aaron Neyer explains that having an open mind is valuable, but it must be balanced with deep roots to avoid becoming untethered. He has experienced periods in his life where excessive openness led him to feel disconnected, teaching him that creativity and expansion need to be grounded in something substantial. This same principle applies to how we organize information digitally, where openness and interoperability allow our extended minds to become more connected and coherent, which in turn helps our primary minds think more clearly.2. Parachute is designed as an extended mind tool that addresses the fragmentation problem in how we currently manage information. Most people use multiple disconnected tools like Obsidian, Notion, Apple Notes, Google Keep, and various CRMs to organize their thoughts, notes, and relationships. These systems don't communicate well with each other, creating inefficiency and confusion. Parachute aims to create a simple, intuitive system where all this information can be organized in one place with true interoperability, allowing users to own their data and have it speak effectively with other tools, ultimately making our entire extended mind more functional.3. Understanding ourselves as unified body mind organisms rather than fragmented parts is essential for effectiveness. Living systems theory shows that any living system is three things: a membrane bound dissipative structure, a self regulating autopoietic network, and a cognitive process actively knowing the world. Western civilization since Descartes and Galileo has created artificial separation between body and mind, and between subjective and objective experience, which limits our effectiveness. The same fragmentation affects our digital technology, and recognizing both our biological and digital systems as coherent wholes rather than disconnected parts makes us vastly more capable.4. The relationship between data driven approaches and holistic thinking reveals important limitations in modern business and science. While working at Google, Aaron observed how data driven decision making can be powerful, but over reliance on metrics like ROI creates blindness to crucial unmeasurable factors like goodwill and relationship quality. This reflects a broader Western tendency to exclude subjective experience because it's difficult for objective science to measure. However, emotions, relationships, and other subjective elements are essential parts of reality, and focusing only on quantifiable metrics means missing the whole picture and ultimately becoming less effective despite appearing more rational.5. AI accelerates the ability to work with technical complexity by helping with relevance realization across domains where we lack expertise. In any specialized field, experts develop intuitive senses for which variables matter and can quickly identify problems, whether in computer troubleshooting, music, or cooking. AI's ability to generalize allows it to point people toward relevant solutions in areas where they haven't developed that intuitive expertise, effectively democratizing technical capability. This means people can direct their creativity more effectively across more domains, though it also raises concerns about giving powerful capabilities to those who may lack the wisdom to use them responsibly.6. The question of open source AI versus gated access involves complex tradeoffs between democratizing power and preventing harm. Aaron respects Anthropic's approach of creating guardrails around powerful models like Mythos, which would likely have caused significant system hacks if released without restrictions. However, this creates concerning power dynamics where only wealthy companies, governments, and their allies have access to the most powerful tools. NVIDIA offers hope through their truly open source approach including full training pipelines, and there may be a viable path where open source models at the Sonnet capability level handle most tasks locally while more powerful Fable class models remain gated for the most demanding work.7. Creating intentional breaks from AI and technology is essential for maintaining clear independent thinking. Aaron practices an AI Sabbath at least one day per week when he doesn't interact with AI, and he finds these are the days when he does his best thinking and journaling. Without these breaks, he finds himself constantly jumping between journaling and prompting AI rather than giving himself space for deep reflection. This pattern mirrors broader concerns about AI consistency creating cult like dynamics similar to organized religion, where constant immersion in a belief system or technology can lead to losing the ability to think independently, making periodic disconnection crucial for maintaining cognitive autonomy and clarity.

Healthcare in America is stuck in a "sick care" model—we wait until people are already ill, then scramble to treat them. Dr. Gloria Winters, VP of Health Innovation at the YMCA of the USA, has spent the last year building something different: a community health operating system that pulls together your wearables, your medical records, and AI-driven insights into one place, so you actually know what to do with your health data instead of just staring at numbers. In this episode, she breaks down her "house" framework for the $5.6 trillion healthcare industry, why falls cost the country more than almost anything else, how she's working directly with HHS and the MAHA movement on preventive health policy, and why personal agency—not just data—is the missing piece in helping people actually change their behavior. If you've ever felt like your Apple Watch tells you everything except what you should actually do next, this conversation is for you. Key Takeaways:

Send us Fan MailAmerican healthcare spends an estimated $110 per member per month just to administer itself, before a single service is ever delivered. Most of that cost exists because health data still cannot move freely between the systems that need it.Michael Meucci, CEO of Arcadia, joins host John Driscoll to discuss why two decades of interoperability policy have failed to solve the data fragmentation problem facing health systems and payers, and why liberating that data and redirecting the administrative spend it currently requires could be the single biggest lever available for improving both the cost and quality of American healthcare.

Supply chain transformation is no longer just about efficiency. It is about resilience, intelligence, and trust across every layer of the system. In this episode, Reid Jackson and Liz Sertl were at GS1 Connect. Melanie Hilton sat down with Miguel Rodriguez Garcia from MIT, Frederik Bohn from Plug and Play Tech Center, and Lisa Morales-Hellebo from REFASHIOND Ventures to explore what supply chains could look like in 2050 and the challenges that must be solved today to get there. The conversation spans cybersecurity risks that now extend into physical operations, the rise of robotics in logistics, and the growing need for verified, trustworthy data across global networks. The guests also explore how interoperability gaps inside large enterprises slow progress, why collaboration remains one of the biggest barriers across industries, and how emerging approaches like AI agents and materials verification could reshape decision making. Together, they highlight that the future supply chain will depend on aligning technology, standards, and human behavior in ways that are still being defined. This is more than a discussion about emerging technology. It is an exploration of how supply chains must evolve into connected, transparent, and adaptive systems where data integrity, automation, and cross-industry collaboration determine long term success. In this episode, you'll learn: How cybersecurity is evolving from a digital risk into a physical supply chain challenge How robotics and automation are already reshaping warehouse and logistics operations Why data trust and verification are becoming essential for future supply chain systems Things to listen for: (00:00) Opening remarks from Reid Jackson and Liz Sertl introducing the GS1 Connect session (01:26) Framing the 2050 supply chain discussion and key themes (07:40) Cybersecurity threats expanding into physical supply chain operations (11:00) Robotics moving from experimental to real warehouse deployment (15:00) Trust and verification of physical materials through data and scanning (19:30) Collaboration challenges across industries and supplier ecosystems (23:10) Interoperability gaps inside large enterprise systems (26:00) AI agents, hallucinations, and the importance of data quality (30:46) Real world visibility innovations using highway camera data networks (32:38) The future vision of standardized machine communication and interoperability Connect with GS1 US: Our website - www.gs1us.orgGS1 US on LinkedIn Connect with the speakers: Melanie Hilton on LinkedInMiguel Rodriguez Garcia on LinkedInMassachusetts Institute of Technology at https://web.mit.edu/Lisa Morales-Hellebo on LinkedIn REFASHIOND Ventures at https://www.refashiond.com/Frederik Bohn on LinkedInPlug and Play Tech Center. at https://www.plugandplaytechcenter.com/  

In this episode, host Sandy Vance chats with Timothy Bennett, the Director of Strategic Healthcare Initiatives at Drummond Group, LLC, for his second appearance on the show. With nearly 20 years at Drummond and deep roots in ONC certification testing dating back to 2010, Tim brings a rare long-view perspective to one of the most important questions facing healthcare interoperability today: how do you actually test whether FHIR works at scale in the real world, not just in a proof-of-concept connectathon? This episode introduces FHIRplace, Drummond's new community-driven testing ecosystem, and digs into why business process rules, not just technical standards, are the real challenge standing between FHIR's promise and its production reality.  In this episode, they talk about: FHIRplace brings together providers, payers, technology vendors, and intermediaries to test FHIR implementations at real-world scale Testing conformance to a standard is not the same as proving true interoperability between systems Business process rules, like what documentation a health plan requires for prior authorization, sit outside the technical standards but are critical to real-world success Intermediaries are central to FHIRplace's testing model because point-to-point FHIR exchange is not feasible across millions of providers and thousands of health plans FHIRplace captures raw transaction data flowing through intermediaries to evaluate real-world interoperability issues, not just lab conditions HIPAA currently requires X12 for prior authorization, meaning a full replacement by FHIR will take years and likely result in a long-term hybrid approach FHIRplace plans to integrate with conformance tools like Inferno so members can get interoperability testing and standards validation in one place Drummond intends FHIRplace to be a 20-year testing ecosystem, not a short-term solution built around a single regulatory deadline A Little About Timothy: Timothy Bennett serves as Drummond's Director of Strategic Healthcare Initiatives and leads the development of new testing and certification programs to benefit the national healthcare interoperability strategy. As the former director of the firm's ONC Accredited Test Lab (ATL), he has been involved in testing electronic health records (EHR) systems since the ONC program's inception in September 2010 and has additionally served as the test lab's lead technical adviser. Prior to healthcare compliance testing, Timothy facilitated numerous interoperability test programs, specifically the design of secure and private exchange of documents and information using internet and security standards. With a degree in nuclear engineering from the Georgia Institute of Technology, he has been instrumental in developing, architecting, and testing software systems for more than 30 years.  Timothy is a governing board member of Shift, a task force of industry stakeholders working through the barriers of equitable interoperability by addressing the obstacles of privatized patient health data exchange. He is actively developing testing and certification protocols for the Fast Healthcare Interoperability Resources (FHIR) standard in order to provide the market with comprehensive FHIR certification across the healthcare ecosystem. He also actively collaborates with industry leaders in the areas of testing and certifying healthcare compliance of pediatrics, patient safety and usability, FHIR and public health. Finally, Timothy was the principal author of the OASIS AS4 standard, a profile of the ebXML Messaging Services v3.0 specification for secure and private exchange of data using web services.

Healthcare supply chain technology is evolving rapidly, but systemic data fragmentation and operational inefficiencies are moving even faster.    In this episode of Supply Chain Now, Scott W. Luton and Scott DeGroot are joined by Mark Holmes of InterSystems and Michael LaRocca of Ready Computing to discuss the shift from legacy networks to proactive, AI-driven decision intelligence.     The panel explores the severe consequences of a 10% global surgery cancellation rate due to supply failures, noting that a single canceled orthopedic procedure can cost up to $250,000, while the human toll can be tragic. They address how a lack of visibility leads to duplicate data entry and supply hoarding, outlining a blueprint for a smart data fabric. By leveraging real-time telemetry and agentic AI, healthcare organizations can automate inventory replenishment and resolve disruptions before they impact care. Scott DeGroot concludes by challenging healthcare leaders to audit their tech stacks and bridge the gap between clinical and supply chain data.   Jump into the conversation: (00:00) Intro  (02:12) Meet InterSystems and Ready Computing leaders  (08:28) Ready Computing's 15-year history of system connection  (10:43) InterSystems' 48 years of mission-critical data tech  (12:29) The life-or-death stakes of healthcare supply chains  (17:29) Global surgery cancellations inflict severe financial penalties  (21:13) Interoperability standards stitch disconnected databases together  (24:43) The "swivel-chair effect" and supply chain hoarding  (30:40) Supply Chain Orchestrator powers proactive data orchestration  (34:45) Channels360 unifies case management and logistics workflows  (40:11) Practical applications of RAG and agentic AI  (55:16) Expanding rural healthcare infrastructure strains traditional supply lines   Additional Links & Resources: Connect with Mark Holmes: https://www.linkedin.com/in/mark-s-holmes/ Connect with Michael LaRocca: https://www.linkedin.com/in/mlaroccaready Connect with Scott DeGroot: https://www.linkedin.com/in/scott-degroot-4600368/ Learn more about InterSystems: http://www.intersystems.com Learn more about Ready Computing: https://readycomputing.com/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- Peak Reality Check: What Shippers, Analysts, and AI Models Are Predicting for 2026: https://bit.ly/4aTlsRv WEBINAR- The Future of Supply Chains: Where Talent Meets Technology: https://bit.ly/4uUuxkc WEBINAR- From Volume to Resilience: How Automotive Supply Chains Are Adapting to a New Market Reality: https://bit.ly/4f6SUGA   This episode was hosted by Scott Luton and Scott DeGroot and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/how-readiness-drives-better-patient-outcomes-1605 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Stewart Alsop sits down with Aaron Lowry, founder of Circulatory Fidelity, to dig into some genuinely mind-bending territory — from Aaron's framework for measuring load-bearing dependencies between things, to the multi-agent AI lab he's built to do cross-domain scientific research, to the surprising parallels between entropy, ontology, and hand-wrapping a wiring harness on a vintage car. They also get into abductive reasoning, the problem of combinatorial explosion, why consensus is the secret engine of civilization, and what it actually means to build a system with an explicit ontology versus just winging it. Check out Aaron's work at circulatoryfidelity.com.Timestamps00:00 — Aaron explains his framework of abduction as a third mode of reasoning alongside induction and deduction, describing his approach as "cataloging shadows" of things we can observe but not yet define.05:00 — The conversation shifts to consensus mechanisms, measurement systems, and how shared definitions in language and commerce reduce friction in civilized society.10:00 — Stewart and Aaron discuss communication loss in human language, how close-knit groups develop lower-loss protocols, and the parallel to business relationships and trust.15:00 — Aaron breaks down Circulatory Fidelity as an algebraic measuring tool for load-bearing dependencies between things, connecting it to relevance realization and combinatorial explosion.20:00 — Aaron describes his multi-agent AI lab, including domain tiers, inter-domain translation using semiotics, and how he coined the term complexity to replace the ambiguous word "synergy."25:00 — Discussion of ontologies, Poincaré discs, and how Aaron's lab explicitly structures relational primacy versus reductionism through a theology agent and an adversary agent.30:00 — Aaron walks through how his agents manage circulatoryfidelity.com and how the adversary functions as a generative tension mechanism against overclaiming.35:00 — The episode closes on Aaron's work in vintage car restoration, tying craftsmanship, wiring harnesses, and the philosophy of participatory creation back to his broader research posture.Key InsightsAbductive reasoning is the overlooked third pillar alongside induction and deduction. Drawn from C.S. Peirce, it works with less firm structures — more intuitive, more shadow-tracking — and Aaron sees it as the right tool for discovering patterns that conventional scientific measurement tends to miss.Cheap factorization is powerful but dangerous. Most of reality can be broken into parts and measured accurately, but some things lose all their relevant information the moment you separate them. Knowing which is which is the whole game.Consensus is infrastructure. From a gram to a traffic light to a shared definition, civilization runs on agreed-upon measurements. The moment consensus breaks down — as the French discovered after their revolution — entire systems become unstable and costly to operate.Constraints are affordances. Entropy and gravity aren't just limitations — they're the ground on which everything is built. Aaron argues that persistent laws of nature are tools, and ignoring them doesn't make them go away, it just makes your model wrong.Ontology is always present, whether you name it or not. Every agent, every system, every framework has one built in. The question is only whether you've made it explicit and intentional — or left it implicit and unexamined.Generative tension is a design principle. Aaron built an adversary agent specifically to challenge overclaims in his lab, mirroring the way opposing forces in nature and tradition keep systems honest and prevent overfitting to comfortable conclusions.Creation is participatory. Whether wrapping a wiring harness for fifty hours or building an agent network, Aaron sees making things as an active, relational process — posture, attention, and intent are what turn potential into reality.

Daniel Crook, founder of School Harbor and co-founder of AEG Systems, joins Dr. Michael Conner for a direct, infrastructure-first conversation about what K–12 districts are getting wrong about AI adoption.Daniel has spent years working inside the systems that districts rely on to manage data, make decisions, and integrate technology at scale. His assessment is clear: the AI problem in education isn't a platform problem, it's a foundation problem. Too many districts are evaluating AI tools before they've built the data infrastructure that would allow those tools to function effectively.In this episode, Daniel walks through why the data warehouse is the non-negotiable starting point, what interoperability actually requires in practice, not in theory, and the three criteria every district leader should apply before selecting or expanding any AI platform. He also introduces the concept of AI sobriety: an implementation philosophy that grounds strategy in the technology's current capabilities rather than its projected future state.The conversation also touches on the Netflix analogy for understanding where edtech sits in the broader AI development cycle, and why the districts building administrative intelligence now will have a significant structural advantage over those still chasing student-facing tool count.A grounded, no-hype episode for superintendents, CTOs, instructional technology leads, and anyone responsible for AI strategy in K–12 education.Episode 127 | Voices for Excellence

Melissa Soliz, Partner, Coppersmith Brockelman PLC, speaks with Brendan Keeler, Interoperability Practice Lead, HTD Health, and Amy Bagge-Smith, General Counsel and Head of Regulatory Affairs, Arcadia, about the cases that are currently shaping interoperability law and how the health care industry is responding. They discuss which legal theories are gaining traction and which ones are appearing more fragile, impacts on national frameworks and CMS' Aligned Networks initiative, and how tech innovators and health care providers can navigate this complex environment. Melissa, Brendan, and Amy spoke about this topic on a recent AHLA webinar. From AHLA's Health Information and Technology Practice Group.Watch this episode: https://www.youtube.com/watch?v=WtCQbMudXmULearn more about the AHLA webinar that Melissa, Brendan, and Amy spoke on: https://educate.americanhealthlaw.org/local/catalog/view/product.php?productid=1772 Learn more about AHLA's Health Information and Technology Practice Group: https://www.americanhealthlaw.org/practice-groups/practice-groups/health-information-and-technology Essential Legal Updates, Now in AudioAHLA's popular Health Law Daily email newsletter is now a daily podcast, exclusively for AHLA Comprehensive members. Get all your health law news from the major media outlets on this podcast! To subscribe and add this private podcast feed to your podcast app, go to americanhealthlaw.org/dailypodcast.Stay At the Forefront of Health Legal EducationLearn more about AHLA and the educational resources available to the health law community at https://www.americanhealthlaw.org/. 

In this episode, Ozarks Healthcare CMIO and Hospitalist Dr. Priscilla Frase joins MEDITECH Chief Nursing Executive Cathy Turner, RN to discuss how technology, interoperability, and a bold approach to innovation is driving meaningful change across the health system and helped to earn the organization national recognition as a rural healthcare leader.This episode is sponsored by MEDITECH.

Modern warfare is no longer defined by who has the biggest force, but by who can adapt the fastest. The battlefield is changing in real time through artificial intelligence, autonomous systems, cyber capabilities, and the speed of information. But even in the most advanced operating environments, victory still comes down to disciplined leaders, trusted teams, and soldiers prepared to make decisions under pressure when everything is on the line.The responsibility for America's rapid response to any crisis belongs to the Army's XVIII Airborne Corps.From their headquarters at Fort Bragg, NC, Fran Racioppi sat down with Lieutenant General Greg Anderson, Commanding General of the XVIII Airborne Corps, to discuss how he is preparing America's Contingency Corps for combat in an increasingly dangerous world.Leading more than 80,000 soldiers across the 3rd Infantry Division, 10th Mountain Division, 82nd Airborne Division, and 101st Airborne Division, and other subordinate commands, LTG Anderson explains how the Corps balances readiness, speed, and innovation while maintaining the fundamentals that have always defined military success.Our conversation explores the role of Noncommissioned Officer, the importance of mastering the basics, and why leadership development remains America's greatest asymmetric advantage. We also discuss the integration of conventional and special operations forces, the concept of compound warfare, and the difference between interoperability and true integration on the battlefield.LTG Anderson breaks down the Corps' push toward innovation through initiatives like the Joint Innovation Outpost and experimental exercises that incorporate artificial intelligence, machine learning, and data-driven decision-making into operational planning. But even as technology changes warfare, he makes one thing clear; there must always be a human in the loop.Highlights0:00 Introduction2:17 Welcome to the Jedburgh Podcast4:01 The role of XVIII Airborne Corps9:57 Empowering NCOs14:58 Joint Innovation Outpost19:00 Speeding the Acquisition Timeline22:53 Keeping A Human in the Loop25:41 Integration vs Interoperability29:13 Guiding the Tactical Level Leader32:48 Compound Warfare Today37:22 Generational Warfighting Differences42:00 The XVIII Airborne Corps Formation45:04 Daily HabitsQuotes“What operational problems do they expect us to solve for them?”“If I've got a strong team…we'll typically prevail.”“Certainly what I've learned of any value has come from non-commissioned officers that raised me up.”“The role of the non-commissioned officer is to become the technical tactical experts in the application of violence at the tactical level.”“What are we doing to get the NCO corps to that point where they are the Army?”“How do we use advanced computing to allow us to make decisions more informed and faster than our opponents?”“The advantage of war fighting is not replacing humans with machine decision making. It's now creating superhumans that are enabled by it.”“Interoperability is our ability to work together in an efficient, effective manner.”“Compound Warfare is the blending of regular and irregular capabilities to create a host of dilemmas for your enemy.”“You'll never be able to tell that tactical level leader when things are going to change and shift if you haven't done the operational level rigor.”“My role as the general is not to solve the problem or be the hero that comes in, but to think and understand the problem we're trying to solve.”The Jedburgh Podcast is brought to you by OneBrief; enabling military leaders to make innovative, informed and deliberate decisions faster than ever before. Superhuman command wins wars.Follow the Jedburgh Podcast and the Green Beret Foundation on social media. Listen on your favorite podcast platform, read on our website, and watch the full video version on YouTube as we show why America must continue to lead from the front, no matter the challenge.

In this episode, Isaiah Nathaniel, CPHIMS, Senior Vice President & Chief Information Officer (SVP & CIO), Delaware Valley Community Health, Inc., shares his vision for using AI, interoperability, and digital health to strengthen care delivery for underserved communities. He discusses leading a major Epic implementation, reducing administrative burdens for clinicians, and building a more connected healthcare ecosystem centered on the patient.

After briefly de-emphasizing targeted TV ads during the Discovery merger, Warner Bros. Discovery has rapidly rebuilt its infrastructure to offer clients unprecedented transparency and accountability. In this live recording from the GoAddressable upfront breakfast, learn how premium IP content is joining forces with sophisticated data waterfalls to challenge the dominance of walled gardens. Key Highlights

On today's episode, Philips's chief medical officer Carla Goulart Peron shares how artificial intelligence is reshaping health care — not by replacing clinicians but by expanding access, improving diagnostics, and freeing doctors to focus more time on patients. Drawing on her experience practicing medicine in Brazil's strained public health system, she explains how technologies like AI-assisted imaging and remote collaboration can bridge critical gaps in care. Carla also explores the challenges of trust, bias, interoperability, and women's health data in the next era of AI-enabled medicine. She offers a grounded, global perspective on how technology can make health care more human. Read the episode transcript here. Guest bio: Dr. Carla Goulart Peron is chief medical officer at Philips. A physician by training, she leads the global team shaping the health technology company's medical strategy for achieving scientific excellence across medical affairs, clinical research, medical safety, and health economics. Before joining Philips, she was vice president and chief medical officer for surgical innovations and robotics at Medtronic. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.

In this episode, Rakesh Mathew, MS, MBA, CPHIMS, Interoperability Leader at Jefferson Health Plans, joins the podcast to discuss the financial pressures facing payers and how sustained losses can reduce competition and lead to market consolidation. He shares perspectives on improving affordability and access, and outlines how organizations can prepare for success in 2027 through stronger interoperability and strategic planning.

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