HLTH Matters

Healthcare has more data than any industry in the world—but without trust in that data, it's almost useless. In this episode, Clay Ritchey, Chief Executive Officer of Verato, breaks down why identity is the missing foundation behind interoperability, AI, and better patient experiences. From fragmented records to failed digital transformation promises, Clay shares how solving “who is who” unlocks everything from improved clinical outcomes to lower costs—and why now is the moment healthcare can finally get it right. In this episode, they talk about: Why healthcare generates massive amounts of data but struggles to use it effectively The core problem: lack of trust in data due to poor identity resolution What it means when one patient exists as 10 different records across systems How fragmented identity impacts patient experience and clinical outcomes The connection between clean data and successful AI adoption Why consumers are driving change with higher expectations for digital experiences The role of identity in enabling true interoperability across organizations How Verato creates a single longitudinal view of patients across thousands of data sources The impact of identity on reducing duplicate tests, costs, and delays in care Why this moment—AI + regulation + consumer demand—is a tipping point for healthcare A Little About Clay: Clay Ritchey is the Chief Executive Officer of Verato. Clay brings more than 20 years of experience driving growth and innovation in market-leading healthcare technology organizations to Verato. As CEO, Clay is passionate about working with healthcare, life science, and government organizations across the care continuum to transform the way that consumers and patients engage with them to build deeper relationships resulting in improved outcomes and sustainable growth for our customers.

What does it really take to get a healthcare AI product past the proof-of-concept stage and into production? In this episode of the AI at ViVE series on the BEAT Podcast, host Sandy Vance sits down with Tushar Puri, CEO of Pegasus One, and Sebastian Ouslis, Co-Founder of ChartR Health, to find out. Together, they pull back the curtain on how ChartR is building an autonomous analytics platform that lets hospitals interrogate their own data across silos in real time, and how Pegasus One's SONG framework is the foundation making it possible. From managing agent drift to the very real stakes of lagging data in sepsis care, this conversation is a masterclass in building healthcare AI that can actually go from pie-in-the-sky to impact you can quantify.  In this episode, they talk about: Why most healthcare AI projects never reach production The real meaning behind the SONG framework How data silos slow down hospital decision-making Turning weeks of analysis into minutes with AI The hidden cost of poor workflow integration Why governance must be built in from day one The importance of designing for real-world healthcare systems How ChartR enables continuous analytics across hospital data What agent drift is and why it matters long term The role of partnerships in building scalable AI products A Little About Tushar and Sebastian: Tushar Puri is the Founder and CEO of Pegasus One, where he helps organizations build scalable AI and software products that actually make it to production. With more than 15 years in product engineering, he specializes in bridging the gap between technical innovation and real-world implementation, especially in healthcare. Sebastian Ouslis  is the Co-Founder of ChartR, an AI-driven healthcare analytics platform focused on turning complex clinical data into real-time insights. His work centers on using AI to help hospitals continuously learn, adapt, and improve patient outcomes.

What if the biggest barrier to better healthcare outcomes is… the blood draw itself? In this episode, Web Golinkin, President at Babson Diagnostics, discusses how his company is reinventing blood testing with a patient-friendly, fingertip-based system. He explains why traditional venipuncture drives anxiety and non-adherence, and how BetterWay improves both experience and outcomes. He also shares how automation and simplified workflows reduce operational burden and expand access points for care. Finally, he explores why patient experience is becoming the key competitive differentiator in ambulatory healthcare. Tune in to learn how rethinking a decades-old process could unlock better care, better business, and better patient engagement. About Web Golinkin: Web Golinkin has focused his career on making health information and care more accessible and affordable. He has done this as CEO of five companies over the past 35 years, including three he co-founded. These companies include the largest cable TV network devoted to health (America's Health Network), one of the nation's largest operators of retail-based clinics (RediClinic), a leading population health management company (Health Dialog), and one of the nation's largest operators of urgent care clinics (FastMed). Web also co- founded the Convenient Care Association and served as its Chair for many years. He has been widely covered in the national media and has spoken at numerous healthcare conferences. Things You'll Learn: Blood testing drives around 70% of medical decisions but has not fundamentally changed in decades. About one-third of patients skip testing due to discomfort or inconvenience. BetterWay uses a fingerstick method and requires 90% less blood. The system eliminates the need for a phlebotomist, enabling more flexible staffing. Automated sample preparation reduces errors and manual workload. The approach is backed by extensive validation, including IRB studies and peer-reviewed data. With an NPS of 79, compared to negative industry scores, it delivers a significantly better patient experience while supporting ambulatory growth, reducing leakage, and improving chronic disease management. Resources: Connect with and follow Web Golinkin on LinkedIn, visit his website, or reach out via email. Follow Babson Diagnostics on LinkedIn and explore their website. Learn more about BetterWay here.

The network is no longer just a hidden utility. It is becoming an intelligent engine for safer, smarter healthcare operations. In this episode, Matt Roberts, Healthcare Business Lead at Hewlett Packard Enterprise, discusses how AI-native networking is changing the role of infrastructure in healthcare. He explains why traditional networks have created operational blind spots, how self-driving network capabilities can improve user experience and security, and why modernizing infrastructure is no longer just about keeping systems running. Matt also shares how the Juniper acquisition expands HPE's ability to support healthcare providers across data center networking, AI-ready environments, and built-in security, while also opening new possibilities for asset tracking, wayfinding, staff safety, and more proactive IT operations. Tune in to learn how smarter networking could help healthcare organizations modernize infrastructure without compromising care delivery. About Matt Roberts: Matt Roberts is a healthcare industry leader focused on helping provider, payer, and life sciences organizations modernize their networking infrastructure to support better user and operator experiences. His background spans healthcare IT, business development, sales strategy, and digital transformation, with a strong emphasis on making the network a more intelligent and proactive part of healthcare operations. Before his current role, Matt served in healthcare leadership positions at Juniper Networks, Brocade, and Cerner, where he helped shape go-to-market strategies, lead healthcare business development, support large-scale implementations, and build strategic partner ecosystems across the industry. His work has consistently centered on helping healthcare organizations reduce complexity while improving performance, security, and infrastructure readiness. Things You'll Learn: AI-native networking can help remove blind spots and make the network more proactive, secure, and easier to operate.  The cost of inaction can be just as risky as the fear of disrupting care during modernization efforts.  Built-in security and policy-driven infrastructure are becoming essential as healthcare organizations prepare for more digital and AI-powered environments.  Modern networks can support far more than connectivity, including wayfinding, asset tracking, and staff safety use cases.  User experience is becoming a central metric for evaluating network performance and value.  Partner ecosystems remain critical for helping healthcare organizations navigate infrastructure and security transformation. Digital twins and virtual network assistants are likely to play a growing role in future IT operating models. Resources: Connect with and follow Matt Roberts on LinkedIn. Learn more about Hewlett Packard Enterprise. 

In this episode of the AI at Health series on The Beat Podcast, host Sandy Vance sits down with Vadiraj Guttal, VP and Business Head for Infosys Helix, for a thoughtful and candid conversation about why health plans are still stuck in batch processing, what it actually means to be cloud native versus just cloud hosted, and how a platform-centric approach is delivering two to three times the improvement that incremental fixes never could. With Helix now six-plus years in the making, Vadiraj brings a grounded, practitioner's perspective to one of the most complex transformation challenges in healthcare today. If you are a health plan executive trying to reduce administrative costs, modernize operations, and prepare for an AI-driven future, this episode is essential listening. In this episode, they talk about: Most health plans moved to the cloud without actually taking advantage of what the cloud can do Batch processing is still the norm in healthcare, and it is the root cause of most administrative delays Platform-centric thinking means cloud-native architecture, reusable data, event-driven workflows, and composability Provider credentialing that takes two to three months today could be reduced to one week with the right platform Helix targets a 40% reduction in IT operations costs and a 50 to 60% reduction in workflow fallouts True digital-native health plans do not exist yet, and that is exactly the gap Helix is built to close Tier two and tier three health plans without large digital transformation budgets are the ideal Helix candidates The next big challenge is using AI at scale in production while keeping outcomes deterministic, not probabilistic A Little About Vadiraj: Senior Health-tech and IT Consulting professional with 23+ years of experience in software development, project management, sales, and delivery of strategic consulting engagements, product and solution development for the payer segment of US healthcare. He partners with senior executives to address their business and technology needs through innovative solutions, resulting in IT efficiencies and business outcomes. As Business Head of Platforms at Infosys Healthcare, he is responsible for ideating and developing digital-native, AI- and cloud-run business applications. In this role, he also partners with other healthcare start-ups and academic institutions to industrialize their research and solve problems for large healthcare payers.

Healthcare doesn't have a technology problem; it has a workflow problem. In this episode, Kshitij Jaggi discusses why healthcare's digital tools have failed to improve efficiency and how agentic AI can transform operations by completing work rather than creating more of it. He explains the critical difference between task automation and system-level orchestration, and why administrative bottlenecks, such as prior authorizations, delay care. He also explores how governance, traceability, and new oversight roles are essential for responsible AI adoption. Finally, he shares how throughput should define ROI and unlock better outcomes across the healthcare system. Tune in to learn how AI can eliminate friction, improve access to care, and reshape the future of healthcare operations.  About Kshitij Jaggi: Co-founder and CEO of RISA Labs, Kshitij (KJ) leads the company's mission to accelerate oncology innovation through data-driven collaboration and transformative technology. Things You'll Learn: Most healthcare software fails because it adds work for users instead of reducing it, making time the primary barrier to adoption. True transformation in healthcare requires system-level orchestration rather than isolated task automation. Embedding clinical intelligence into administrative workflows reduces errors, delays, and inefficiencies in care delivery. Administrative processes are the biggest source of friction in healthcare systems. Integrating agentic AI with EMR systems can significantly increase throughput in a labor-constrained healthcare environment. Long-term success depends on platform-based solutions, governance and oversight of AI, and measuring ROI through throughput, timeliness of care, and reduced treatment leakage while enabling more seamless care and faster innovation. Resources: Connect with and follow Kshitij Jaggi on LinkedIn. Follow RISA Labs on LinkedIn and visit their website.

Simplifying the complex world of healthcare reimbursement. In this episode, Jason Considine, President of Experian Health, discusses shifting the industry's focus from denial management to denial prevention by leveraging AI at the point of registration. He discusses the implementation of the Patient Access Curator, a tool that automates insurance discovery and validation to reduce human error and administrative costs. He also explains how Experian leverages rich data assets, such as employment data, to help providers navigate new regulatory requirements, such as the OBBA. This episode explores the mission of leveraging advanced technology to eliminate administrative waste, enabling resources to be redeployed into direct patient care. Tune in to start from the start with denial prevention.  About Jason Considine: Jason Considine is the President of Experian Health, having taken the helm in April 2025. He previously served as the Chief Commercial Officer for more than 3 years, leading sales, marketing, and business development. With nearly 20 years of experience in the healthcare industry, Jason is dedicated to using data analytics and software solutions to simplify administrative processes for hospitals and medical practices. Things You'll Learn:  How Experian Health aims to simplify healthcare by improving the efficiency of how providers are reimbursed by patients and payers. The industry shift from costly back-end denial management to proactive denial prevention by leveraging AI at the point of registration. How the Patient Access Curator tool automates insurance discovery and updates registration systems in seconds to reduce denials by over 30%. The importance of transparency in AI to build trust and unlock the "black box" of decision-making in highly regulated healthcare environments. How providers can prepare for the OBBA regulation by using employment data to automate Medicaid qualification decisions. Why the AI "arms race" between payers and providers makes adopting intelligent automation essential for an organization to thrive and survive. Resources:  Connect with and follow Jason Considine on LinkedIn. Follow Experian Health on LinkedIn and explore their website.

AI is advancing rapidly in healthcare, but speed without governance can create serious clinical, legal, and enterprise-level risks. In this episode, Peter Bonis, MD, Chief Medical Officer at Wolters Kluwer Health, explores how his team is developing reliable, evidence-based AI tools to support frontline clinicians without compromising trust or safety. He explains why clinicians are adopting AI faster than health systems can govern it, creating risks like the rise of “shadow AI.” Peter highlights the importance of transparency, human oversight, and trusted source material in ensuring safe clinical decision support. He also discusses how even experts can be influenced by faulty AI output and why governance models must evolve with frontline input to keep pace. Tune in and learn how healthcare leaders can approach AI governance more responsibly while still supporting innovation at the point of care. About Peter Bonis: Peter A.L. Bonis, MD, is Chief Medical Officer at Wolters Kluwer Health, where he serves on the executive leadership team and oversees content, informatics, and industry partnerships. He was also part of the founding group at UpToDate, which grew into one of the world's leading evidence-based clinical knowledge resources.  Dr. Bonis is a physician entrepreneur and academic leader with more than 25 years of experience in healthcare. At Wolters Kluwer Health, he leads teams spanning physicians, pharmacists, engineers, informaticists, and business development professionals focused on clinical content, drug information, and patient engagement solutions. He is also an adjunct professor of medicine in the division of gastroenterology at Tufts University School of Medicine and previously served on the faculty at Yale University School of Medicine. His background also includes healthcare investing, advisory work with venture capital and private equity firms, more than 70 published research articles, and the co-founding of the UpToDate donations program in partnership with Ariadne Labs to expand access in low- and middle-income countries. He earned his AB from Harvard University and his MD from New York University.  Things You'll Learn: AI in healthcare must be grounded in trusted evidence, transparency, and human oversight to be safe for clinical use.  Shadow AI is already creating enterprise-level risk as clinicians and staff adopt unvetted tools outside formal governance structures. Even experienced specialists may not reliably detect faulty AI-generated clinical information when it appears credible. Healthcare leaders need governance models that focus on safety, privacy, compliance, and real clinical value rather than hype. Effective AI governance must be iterative and shaped by input from frontline clinicians who understand how these tools affect care delivery. Resources: Connect with and follow Dr. Peter Bonis on LinkedIn! Follow Walters Kluwer Health on LinkedIn and visit their website.

What if the biggest opportunity in healthcare reimbursement is finally having a clear view of what “fair” actually looks like? In this episode, Dilpreet Sahota, CEO and founder of Trek Health, discusses how his company is helping health systems and health plans turn price transparency data into a strategic tool for payer negotiations. He explains why publicly available reimbursement data is still difficult to use in practice, how AI can simplify both massive pricing datasets and highly complex payer contracts, and why providers need a clearer benchmarking strategy as reimbursement pressures continue to shift. He also shares his perspective on trust, validation, and explainability in AI, along with a future vision in which providers negotiate with greater clarity, and patients can better predict the true cost of care before receiving services. Tune in to learn how better reimbursement intelligence could reduce friction, strengthen negotiation strategy, and increase transparency for both providers and patients. About Dilpreet Sahota: Dilpreet Sahota is the CEO and founder of Trek Health, a company focused on building healthcare payment products that help organizations better understand reimbursement, contracts, and market benchmarks. Since founding Trek Health in 2022, he has worked to make price transparency data more usable for healthcare finance leaders and provider organizations navigating payer negotiations. Before launching Trek Health, Dilpreet held roles across healthcare growth, analytics, operations, and research, including work at Big Health, Health IQ, Massachusetts General Hospital, and Stanford University School of Medicine. He holds an M.Sc. from Stanford University and a B.A. from the University of California, Berkeley. Things You'll Learn: Price transparency data is now public, but it is still difficult for providers and payers to access and use strategically.  AI can help sift through massive pricing datasets and extract key terms from payer contracts in seconds rather than hours.  Providers need plan-specific reimbursement strategies instead of treating all payer relationships the same way. Trust in AI depends on validation, sourcing, auditability, and the ability to trace outputs back to underlying truth. Lower-cost outpatient alternatives will likely play a major role in reducing total cost of care over the next decade. A more mature transparency ecosystem could help patients predict healthcare costs much more accurately before treatment. Resources: Connect with and follow Dilpreet Sahota on LinkedIn. Learn more about Trek Health on LinkedIn and visit the website here. 

Healthcare payments are often discussed as a transparency problem, but the deeper issue is structural fragmentation across contracts, claims, remittances, and workflows. In this episode, Ted Ferrin, Senior Vice President of Payments Innovation at Zelis, explains how the acquisition of Rivet is bringing provider-facing payment intelligence into Zelis's broader infrastructure. He discusses why achieving financial clarity between payers and providers has been so difficult due to fragmented systems and legacy technology. Ted highlights that true transparency goes beyond simply displaying data and requires meaningful, actionable insights. He also shares how tools like Claims Insights and Zap Edge embed intelligence into payment workflows to reduce rework, improve visibility, and create a smoother experience for providers, payers, and patients. Tune in and learn how better payment intelligence could help turn transparency from a buzzword into real operational trust.  About Ted Ferrin: Ted Ferrin is Senior Vice President of Payments Innovation at Zelis, where he focuses on building solutions that improve healthcare payments and strengthen financial clarity for providers. He joined Zelis through its acquisition of Rivet, the company he founded and led as CEO for more than eight years. Before Rivet, Ted held leadership and sales roles at Canopy, Instructure, and Qualtrics. His work has centered on building organizations, products, and customer-focused growth strategies, with a particular passion for making healthcare more efficient and easier to use for providers. He studied psychology and business management at Brigham Young University.  Things You'll Learn: Healthcare payment transparency breaks down when contracts, claims, remittances, and analytics all live in disconnected systems. True transparency requires clean, normalized data delivered in real time within workflows, not just static reporting. Providers still face a major administrative burden because the old payment infrastructure often forces manual reconciliation and rework. Shared financial clarity can improve trust by reducing disputes, errors, delays, and unnecessary administrative effort for both providers and payers. Embedding payment intelligence at the point of transaction can help organizations move from passive visibility to more actionable decision-making.  Resources: Connect with and follow Ted Ferrin on LinkedIn. Follow Zelis on LinkedIn and visit their website. 

AI in healthcare is moving fast, but what does real, operational impact actually look like? In this episode, host Sandy Vance chats with Aditya Bansod, CTO and co-founder of Luma Health, and Michelle Winfield-Hanrahan, RN BSN MHA MSN about this very topic. They share how the University of Arkansas for Medical Sciences is scaling AI beyond the call center and into complex, high-friction workflows like fax processing and patient access. From backfilling missed appointments to transforming referral intake, this conversation dives into what it takes to build trust, move quickly, and turn AI into measurable results across an entire health system. In this episode, they talk about: How UAMS identified a high-impact, low-risk entry point for AI in call center workflows Turning after-hours cancellations into filled appointments and improved patient access Why trust in the partner matters just as much as trust in the technology Expanding from AI call handling to backend fax automation How AI is reducing referral lag time and improving data visibility The power of an EHR-first strategy and working inside existing workflows Avoiding “AI sprawl” and the challenge of managing too many point solutions Real talk on ROI: operational efficiency, revenue lift, and happier patients Why success builds momentum for scaling AI across departments Practical advice for health systems navigating the explosion of AI vendors A Little About Aditya and Michelle: Aditya Bansod is CTO and co-founder of Luma Health. With a lifelong passion for building software, Bansod leads Luma Health's technical vision and strategic direction for building a Patient Success Platform that empowers healthcare providers to serve their patients better and improve healthcare outcomes. With over 15 years of experience as a product management leader developing mobile solutions at Adobe and Microsoft, and at venture-backed start-ups, Bansod made the transition from B2B software solutions to healthcare in 2015 to have a meaningful and measurable impact on how providers use mobile technologies to engage with and communicate with their patients.   Michelle Winfield-Hanrahan, RN BSN MHA MSN, is a seasoned healthcare clinical operations executive with over 20 years of experience in optimizing patient access, improving patient engagement, and streamlining clinical operations. Throughout her career, Michelle has demonstrated a strong ability to lead cross-functional teams and implement strategic initiatives that enhance the patient experience, increase operational efficiency, and drive sustainable growth. In her current role as Chief Clinical Access Officer and Associate Vice Chancellor of Access at the University of Arkansas for Medical Sciences, Michelle oversees patient access and flow from both the outpatient and inpatient setting, ensuring seamless patient flow and appointment scheduling, reducing wait times, and improving overall patient satisfaction. She has spearheaded innovative solutions that leverage technology to enhance patient communication and engagement, ensuring that patients remain informed, involved, and empowered throughout their healthcare journey. Michelle is dedicated to driving innovation in healthcare operations and is committed to making quality healthcare more accessible and efficient for all.

Healthcare is drowning in documentation and fragmented data, but what if the system worked for clinicians rather than against them? In this episode, Dr. Richa Gupta, Vice President of Care Transformation at Ambience Healthcare, explains how Ambience provides a layer of intelligence on top of electronic medical records to optimize clinician workflow and patient interactions. Ambience's ambient listening system captures physician-patient interactions, supports documentation, and ensures accurate coding and billing, boosting clinician satisfaction and reducing revenue leakage. ROI is driven by high clinician utilization, validated outcomes, and measurable improvements in documentation burden, coding accuracy, and physician retention. In 2026, Ambience is expanding across the full care continuum, including ambulatory, emergency, and inpatient settings, offering a platform that surfaces real-time insights and enhances patient care. Tune in to hear how Ambience is transforming physician workflows and delivering real ROI across the care continuum.  About Dr. Richa Gupta: Dr. Richa Gupta, Vice President of Care Transformation at Ambience Healthcare. Dr. Gupta partners with hospital leaders to apply AI to the most complex clinical and operational challenges in health systems. She brings more than two decades of experience leading projects and teams at large academic medical centers. Things You'll Learn: Ambience reduces documentation burden by using ambient listening and chart-aware intelligence. Clinician satisfaction drives ROI, with utilization rates reaching up to 80%. Accurate coding and diagnosis capture prevent revenue leakage and claim credit for physician work. Ambience can improve physician retention, even delaying retirements during labor shortages. In 2026, Ambience is expanding beyond ambulatory care to emergency and inpatient settings, providing insights across the patient journey. Resources: Connect with and follow Dr. Richa Gupta on LinkedIn. Follow Ambience Healthcare on LinkedIn and visit their website.

Healthcare technology should quietly remove friction and reduce burden so clinicians can focus on what matters most: caring for patients in a more human way. In this episode, Lisa Gulker, Chief Nursing Officer at Oracle Health and Life Sciences, discusses how Oracle is rethinking healthcare technology by building AI directly into the foundation of its systems rather than layering it on as an afterthought. She explains how this approach can help clinicians spend less time in the chart, reduce workflow fragmentation, and make technology feel more seamless in the care experience. Lisa also shares how Oracle is applying these capabilities across providers, life sciences, and payers, creating opportunities to accelerate research, improve clinical trial matching, streamline prior authorization, and reduce administrative burden across the ecosystem. Throughout the conversation, she brings a nurse leader's perspective to a central question in healthcare innovation: how do we use technology to make care feel more human, not less? Tune in and learn how embedded AI could reshape the healthcare experience for clinicians, staff, researchers, payers, and patients alike.  About Lisa Gulker: Lisa Gulker is Chief Nursing Officer at Oracle Health, where she helps bring the voice of clinicians into product strategy, innovation, and healthcare transformation. With a background that spans nursing, informatics, analytics, and clinical operations, she has spent her career helping health systems use technology more effectively to improve care delivery and workforce engagement. Before becoming Chief Nursing Officer, Lisa served as Vice President of Product Management and Strategy at Oracle, and previously held senior leadership roles at Cerner, Tenet Healthcare, and Detroit Medical Center, where she focused on clinical transformation, data stewardship, and value realization. She works closely with executive leaders, data science teams, and engineering groups to align innovation with the realities of care delivery. Lisa holds a Doctor of Nursing Practice from Wayne State University and brings a strong blend of clinical, strategic, and operational expertise to healthcare innovation.  Things You'll Learn: When AI is built into the foundation of healthcare technology, it can reduce the burden more effectively than tools simply bolted onto older systems.  Seamless technology should help clinicians focus more on patients and less on screens, documentation, and fragmented workflows. Life sciences organizations can use AI-enabled systems to accelerate research, improve access to studies, and surface insights more efficiently. Payers still rely on slow, labor-intensive administrative processes that AI could help streamline, especially in areas such as pre-authorization and referrals. Human-centered innovation depends on listening closely to end users and designing technology that reflects how clinicians actually work.  Resources: Connect with and follow Lisa Gulker on LinkedIn. Follow Oracle Health on LinkedIn and visit their website.

As digital change accelerates across healthcare, payors face an urgent need to modernize how they communicate, educate, and engage. The AI-Orchestrated Experiences portfolio from Adobe and IBM represents a new paradigm where data, design, and intelligence work seamlessly together to improve outcomes for every stakeholder. In this episode of the AI at Health series on The Beat Podcast, host Sandy Vance sits down with Melissa Geissler, Partner for Healthcare and Life Sciences Strategy and Transformation at IBM, and Ted Roman, Healthcare and Life Sciences Digital Strategy Principal at Adobe, to unpack one of the most exciting partnerships in healthcare AI right now. Together, IBM and Adobe are building AI-orchestrated experience solutions that help payers deliver personalized, seamless, and scalable member experiences without the white-glove price tag. From helping members find the right health plan to automating prior authorization and appointment booking, this episode is a must-listen for any payer, provider, or health tech leader who wants to understand where consumer experience in healthcare is headed next.  In this episode, they talk about: Healthcare is data-rich, but still behind every major retailer when it comes to personalized member experiences IBM and Adobe are combining platform capabilities, agentic AI, and change management into one integrated framework AI agents can now handle health plan selection, appointment booking, and benefits navigation for members Brokers serving small and mid-size employers are one of the most underserved audiences in healthcare technology The best AI strategy starts with defining the business problem first, then building the technology around it Social determinants of health data can now be integrated into personalized member recommendations Organizations that feel under-resourced are the ideal candidates for AI-orchestrated experiences The partnership is already live with clients and expanding into provider and life sciences use cases  A Little About Ted and Melissa: Ted Roman, PhD, brings over a decade of expertise in healthcare and life sciences research, management, technology, operations, and digital strategy to Adobe. He is a principal in the Digital Strategy Group, serving organizations globally pursuing more interconnected experiences. Prior to Adobe, Ted served the needs of Highmark Health and McKinsey & Company's clients. He holds a PhD in Computational Biology from the School of Computer Science at Carnegie Mellon University. He also earned bachelor's degrees in computer science and mathematics from Case Western Reserve University. Melissa Geissle is a Partner at IBM, leading Public Market activities, where she applies experience strategy and service design to solve complex innovation challenges and leads a diverse team of designers, researchers, analysts, and strategists to help organizations create meaningful stakeholder connections while improving market outcomes. Over two decades, she has partnered with healthcare, life sciences, government, and nonprofit organizations to define and execute digital health initiatives, applying data-driven insights and ecosystem platform capabilities to redefine strategic marketing, service, and digital engagement functions. Melissa holds a BA in Economics from Bates College and an MBA from Georgetown University's McDonough School of Business, and has participated in global corporate citizenship initiatives across the UK, South Africa, and Poland.

In this episode of the Cybersecurity at Vibe series on The Beat Podcast, host Sandy Vance sits down with Shreesh Bhattarai, Director of HITRUST at A-LIGN, for a candid and practical conversation about one of the most misunderstood topics in healthcare cybersecurity. With nearly a decade of experience building one of the highest-volume HITRUST assessment practices in the market, Shreesh breaks down the difference between checking a compliance box and actually being secure, walks through the three levels of HITRUST certification, and shares what organizations need to do right now to prepare for an AI-driven future. Whether you are just starting your compliance journey or managing nine certifications with a team of five, this episode has something for you. In this episode, they talk about: Compliance is the baseline, not the finish line, and treating it as a once-a-year exercise is a serious mistake The biggest risk in compliance is not failing the audit, but passing it while still being insecure HITRUST has three certification levels: E1 (crawl), I1 (walk), and R2 (marathon) Organizations should choose the certification that matches their risk profile, not just go for the biggest one The best audits are boring because everything is already embedded in day-to-day operations HITRUST's "audit once, report multiple times" approach eliminates duplicative work across frameworks AI governance plans are no longer optional; shadow AI is a real and growing risk HITRUST now offers an AI cybersecurity assessment to help organizations put guardrails around AI use A Little About Shreesh: Shreesh Bhattarai is Director and HITRUST Practice Lead at A-LIGN, where he works at the intersection of cybersecurity assurance, regulatory pressure, and business growth. Since 2017, he has led more than 500 HITRUST certifications and assessments across healthcare, digital health, and high-growth technology organizations. Shreesh partners directly with CEOs, CISOs, and executive teams navigating increasing scrutiny from regulators, customers, and third parties. He is known for challenging the “check-the-box” compliance mindset and reframing HITRUST as a strategic trust mechanism — one that strengthens security posture, accelerates enterprise sales, and reduces third-party risk friction. He leads a national team of security professionals within A-LIGN's HITRUST practice and regularly speaks on the evolution of compliance in healthcare at forums including ViVE, Health and HITRUST Collaborate. Prior to A-LIGN, he was part of the audit practice at Ernst & Young, focusing on SOX 404 and SOC engagements.

Consumer healthcare is entering a new phase where patients are no longer just looking for convenience. They are looking for affordability, transparency, and provider relationships that actually feel continuous and personalized. In this episode, Dr. Myra Ahmad, CEO of Mochi Health, discusses how her company is building a comprehensive care platform that goes well beyond GLP-1s and weight management. She explains how Mochi combines providers, pharmacies, and software infrastructure in a marketplace model that gives patients more treatment visibility, supports tailored care plans, and expands access to affordable medications with or without insurance. Dr. Ahmad also shares why price transparency matters more than ever as more patients move into high-deductible plans, how operational efficiency and AI can help keep care affordable, and why the next chapter of telehealth will belong to solutions that reduce friction while preserving the provider-patient relationship. Tune in and learn how consumer health platforms can make care more accessible, more transparent, and more aligned with what patients actually want.  About Myra Ahmad: Dr. Myra Ahmad is the CEO of Mochi Health, a telehealth and digital care platform focused on delivering personalized, accessible, and affordable care through certified providers. She earned her MD from the University of Washington School of Medicine and holds a bachelor's degree in biology from Wellesley College. Before leading Mochi Health, Dr. Ahmad built a strong background in research through roles at UCSF, the MIT Koch Institute for Integrative Cancer Research, and the MIT Sloan Fellows Program in Innovation and Global Leadership. Her experience spans clinical research, consumer behavior, and healthcare innovation, giving her a multidimensional perspective on how to expand access while improving the patient experience. Things You'll Learn: Patients increasingly want healthcare solutions that combine affordability, transparency, and continuity instead of forcing them through fragmented experiences. A marketplace model can give providers more flexibility to tailor treatment plans while giving patients more visibility into medication and pharmacy choices. Expanding beyond weight management became a natural step once both providers and patients began looking for broader, ongoing care relationships. Operational efficiency, automation, and AI can help healthcare companies reduce administrative costs without sacrificing access or affordability. The future of telehealth will likely favor solutions that make pricing clear and help patients understand exactly what they are paying for. Resources: Connect with and follow Myra Ahmad on LinkedIn. Follow Mochi Health on LinkedIn and visit their website.

In this episode of the Interop Now at Vibe series on The Beat Podcast, host Sandy Vance sits down with Adam Luff, VP of Product Solutions at Infor, and Jesse Evans, Product Director for Infor FHIR Services, for a deep and practical conversation about why semantic interoperability is the make-or-break factor for AI in healthcare.  With decades of experience between them, Adam and Jesse explain why organizations that skip the data normalization step are building on a foundation that will eventually collapse. From prior authorization workflows to longitudinal patient records, this episode is essential listening for any healthcare leader who wants to understand what AI-ready infrastructure actually looks like. In this episode, they talk about: AI cannot make sense of data that is not semantically normalized Integration wires things up; interoperability makes the data actually usable A single patient can exist under multiple names and identifiers across dozens of systems FHIR is not a replacement for HL7, it is the latest version of the HL7 specification Poor data quality in EHRs is the rule, not the exception, even at well-resourced organizations Event-driven architecture enables prior authorization workflows to run with no human intervention Infor's longitudinal patient record viewer pulls data from up to 70 archival systems into one normalized view The FHIR server is becoming the source of truth, replacing the EHR as the authoritative record Bed turnover and discharge workflows are where providers are capturing real, measurable ROI right now A well-governed, normalized data platform unlocks an almost unlimited number of AI use cases A Little About Adam and Jesse: Adam Luff has been with Infor for six years and has spent about 20 years in the provider space. Before Infor, he worked at a company that manufactures large MRI and CT machinery. He focuses on business impact with provider organizations. Jesse Evans has been at Infor for about 10 years, first as a Principal Solutions Architect and now as Product Director for Infor FHIR Services. He has been in the healthcare enterprise industry for about 20 years, with deep expertise in integration engines, interoperability, and FHIR standards.

In this episode, host Sandy Vance sits down with Dan Shur, Chief Product Officer at Carenet Health, to talk about what it really takes to guide patients and members through one of the most frustratingly fragmented systems in the world. With over 30 years in the healthcare industry spanning payers, providers, and health tech & services companies, Dan brings a grounded, pragmatic perspective to the AI conversation. From the myth that everyone wants to talk to a chatbot to the importance of letting humans be human, their conversation is a must-listen for healthcare leaders who want to use AI to drive real outcomes without losing the empathy that puts the “care” in healthcare. In this episode, they talk about: Healthcare is the last industry where friction is still considered normal Carenet combines nurses, operations, data, and technology to navigate care at scale AI is best used for flagging risk, prioritizing queues, and gathering context before a human steps in Chatbots are not good at empathy, and healthcare interactions require a whole-person approach Not every problem needs AI; sometimes you just need a PDF to open Payers measure engagement, retention, and closed gaps in care; providers measure acquisition and leakage prevention Fragmentation is getting worse, not better, and navigation solutions have to account for the whole ecosystem Proactive, precise outreach beats education-only programs that leave patients to figure it out alone The clinical and administrative sides of care cannot be separated, and solutions need to address both Dan Shur leads product strategy and innovation at Carenet Health, where he helps healthcare organizations use smarter technology to improve outcomes. With over 30 years in healthcare and health tech, Dan has worked across health plans, provider systems, and startups. He is always focused on turning big ideas into practical solutions. Before Carenet, he founded Aloha Value Advisory, helping early-stage companies find their footing, and previously served as Chief Product Officer at Quantum Health, where he helped scale and modernize the business. Throughout his career, including roles at Cigna, EmblemHealth, Progyny, Cloudbreak Health, and GuideWell's Venture Group, Dan has built a reputation for driving innovation that delivers results.

What if doctors could see all patient data in one place while AI handled the busywork? In this episode, Dr. Shez Partovi talks about the urgent need for integrated diagnostics in healthcare. He explains how fragmented imaging systems create inefficiencies and cognitive overload for clinicians, and how a unified platform can deliver a holistic view of the patient journey. He also explores how AI can automate administrative tasks, reduce burnout, and augment clinical decision-making while keeping humans in the loop. Tune in to learn how AI and integrated diagnostics are reshaping the future of care delivery and clinician experience. About Dr. Shez Partovi: Dr. Shez Partovi is a physician-turned-entrepreneur and Fortune 500 healthcare executive who has built his career at the intersection of clinical care, technology, and business transformation. A five-time founder with multiple successful exits, he has consistently focused on scaling impact—from caring for individual patients to leading large, global healthcare operations. He currently leads a $1.5 billion global healthcare business spanning the United States, China, Europe, and Latin America. Prior to this, he led and rapidly scaled Amazon Web Services' healthcare and life sciences division to multi-billion-dollar growth, helping organizations harness cloud and emerging technologies to drive meaningful outcomes. Partovi brings deep expertise in healthcare delivery, enterprise software, and end-to-end P&L leadership, along with a unique combination of clinical training as a board-certified physician and technical depth in computer science and AI. Known for translating complex technologies into measurable business value, he has built and led high-performing teams across environments ranging from early-stage startups to global enterprises. At the core of his work is a consistent mission: to improve healthcare access and outcomes for more people at scale. Things You'll Learn: Healthcare data remains siloed across multiple systems. Integrated diagnostics provides a single, unified view of all patient data. AI reduces cognitive load and administrative burden, including “pajama time.” Clinician burnout is a primary driver of AI adoption in healthcare. Innovation must be patient-clinician backward, not technology-forward. Responsible AI depends on representative data and effective bias mitigation. Human oversight remains essential in current AI applications. Resources: Connect with and follow Dr. Shez Partovi on LinkedIn. Follow Philips on LinkedIn and visit their website. 

What happens when some of healthcare's most trusted workers are still operating outside the systems that document, reimburse, and scale care? In this episode, Colby Takeda, Co-Founder & CEO of Pear Suite, joins Saul Marquez live at ViVE to explore why community health workers are becoming a more essential part of the healthcare ecosystem. Drawing from his background in senior living and public health, Colby explains how Pear Suite helps community-based providers move beyond paper and spreadsheets with tools to document care, navigate credentialing and contracting, submit claims, and get paid for the value they deliver. The conversation also looks at Pear Suite's broader vision for connecting community-based organizations, health plans, and providers in a more coordinated system of care. Colby shares why AI should reduce administrative burden instead of replacing trusted relationships, how co-design with frontline workers has shaped the platform, and where he sees the biggest opportunity to make community-based care more sustainable and accessible at scale. Tune in to hear how community health workers are becoming more essential to the healthcare ecosystem, and how better infrastructure and smarter technology can make community-based care more sustainable and scalable. About the Guest: Colby Takeda is Co-Founder & CEO of Pear Suite. With a background in public health, senior living, and community-based care, he founded the company to help community health workers and community-based organizations better navigate the operational side of delivering meaningful support. Under his leadership, Pear Suite has built a tech-enabled model that combines workflow tools, reimbursement support, credentialing, contracting, and claims infrastructure to help community-based providers work more effectively with health plans and the broader healthcare system. Things You'll Learn: Why community health workers are becoming more central to modern, whole-person care models. How Pear Suite helps community-based providers document care, manage compliance, and get reimbursed for their work. Why policy shifts and Medicaid reimbursement are creating new momentum for community-based care. How AI can support community health workers by reducing administrative burden without replacing trust-based relationships. Why connecting health plans, providers, and community organizations is key to making community-based care sustainable at scale. Resources: Connect with Colby Takeda on LinkedIn Learn more about Pear Suite Explore Pear Suite for Providers Follow Pear Suite on LinkedIn

What happens when interoperability stops being a buzzword and starts becoming real infrastructure? In this episode, Therasa Bell, President & Co-Founder of Kno2, joins Saul Marquez at ViVE to unpack why healthcare communication remains one of the industry's hardest unsolved problems. Drawing on experience across provider, payer, and technology settings, Therasa explains why connecting the full continuum of care, especially post-acute, behavioral health, EMS, dental, vision, and home-based care, is far more complex than most people realize. She shares how Kno2 is building a communication infrastructure that lets organizations connect once and communicate everywhere, without forcing a massive overhaul of existing technology stacks. Tune in to hear how policy, infrastructure, and ethical governance are converging to bring more of healthcare online in a secure, practical, and meaningful way. About the Guest: Therasa Bell is President & Co-Founder of Kno2. A software engineer by trade, she has spent her career working across multiple healthcare settings, including provider, payer, and health IT environments. That cross-functional perspective led her to focus on one of healthcare's most persistent challenges: breaking down barriers to communication across the continuum of care. At Kno2, she has helped build infrastructure that supports secure, scalable information exchange across providers, payers, technology vendors, and historically overlooked care settings. Things You'll Learn: Why healthcare interoperability is far more complex than common comparisons to banking or ATM networks suggest. How Kno2's communication infrastructure helps technology vendors connect once and communicate across the healthcare ecosystem. Why post-acute care, behavioral health, dental, vision, EMS, and other overlooked settings are critical to a truly connected continuum. Why trust in modern data exchange depends on governance, ethics, and responsible network behavior, not just baseline compliance. How federal initiatives, CMS-aligned efforts, and market pressure could accelerate national exchange participation over the next 12 to 24 months. Resources: Connect with Therasa Bell on LinkedIn Learn more about Kno2 Explore the Kno2 Communication API Follow Kno2 on LinkedIn

What if the real power of AI in healthcare isn't the technology itself, but how we apply it responsibly and intentionally? In this episode, Ajoy Ranga, Chief Digital Officer of Healthcare at UST Global, and Ashok Chennuru, Chief Data & Digital AI Transformation Officer at the Digital Platforms and Artificial Intelligence Office at Elevance Health/Carelon, discuss how their partnership between UST and Elevance Health is leveraging AI, data, and digital transformation to improve healthcare outcomes and consumer experience. They emphasize that scaling AI responsibly requires strong governance, human oversight, and a clear stance against using AI to deny care. Both highlight that high-quality, actionable data is foundational, but must be practical, cost-effective, and usable even when imperfect. Ultimately, they stress that success in healthcare innovation comes from starting with user experience, rapidly prototyping solutions, and fostering a mindset of continuous learning and experimentation. Tune in to hear how Elevance Health and UST are balancing innovation with responsibility to unlock AI's true potential in healthcare.  About Ajoy Ranga: Ajoy Ranga is the Chief Digital Officer of Healthcare at UST. Ajoy Ranga is a distinguished technology executive with over 20 years of experience driving digital transformation in healthcare. As former Vice President of Product Engineering at Elevance Health, he led the strategy and delivery of all external-facing digital channels, impacting millions of members and partners. Ajoy is known for pioneering industry-first innovations—including AI-powered tools, conversational interfaces, and cloud-native platforms—that improved member engagement and operational efficiency. With deep expertise in product-centric engineering, mobile-first design, and scalable architectures, he has built and led high-performing global teams while advancing enterprise agility, AI adoption, and cloud modernization. About Ashok Chennuru: Ashok Chennuru is the Chief Data & Digital AI Transformation Officer at the Digital Platforms and Artificial Intelligence Office at Elevance Health/Carelon. In his role, is responsible for driving healthcare innovation through the transformative power of data and AI across the organization. In recent years, Ashok has led transformational efforts to revolutionize the business, develop foundational AI platforms, enhance operations, drive exceptional experiences, and develop an AI-enabled workforce. Ashok also spearheads much of Elevance Health's clinical and payer-provider integration efforts, including Health OS - an interoperability platform that connects provider, payer, and member data - as well as value-based platforms, population health management, and provider analytics.  Things You'll Learn: Responsible AI must be governed, monitored, and continuously evaluated. AI should augment care decisions, not restrict access to care. Actionable, integrated data matters more than perfectly clean data. Experience-first design leads to faster alignment and better outcomes. Lifelong learning and experimentation are essential for success in modern healthcare technology. Resources: Connect with and follow Ajoy Ranga on LinkedIn. Follow UST Global on LinkedIn and visit their website. Connect with and follow Ashok Chennuru on LinkedIn. Follow Elevance Health on LinkedIn and visit their website.

In this episode, host Sandy Vance and Andy Fanning, the CEO & Co-founder of Optura.ai, sit down to talk about why so many healthcare organizations are making AI headlines without actually transforming anything. Andy breaks down how Optura helps payers, providers, and life sciences companies move from a scattered list of AI ideas to a prioritized, production-ready roadmap with measurable return on investment. From crowdsourcing use cases across an entire organization to aligning AI investments with executive strategy, this episode is packed with practical insight for any healthcare leader who wants AI to actually move the needle. In this episode, they talk about: Most healthcare leaders feel they are not moving fast enough with AI, despite the headlines Shadow AI is just an unmet need, and governance is the answer Crowdsourcing AI ideas from the bottom up reveals hotspots that leadership often cannot see Aligning AI use cases to existing strategic initiatives makes adoption dramatically easier Point solutions do not share context, and that missing context is where the real value lives Return on AI investment requires defining what value actually means for your specific organization Agentic AI is the next big wave, and organizations need to decide where they sit on the risk spectrum Trust at the frontline is built by showing workers how AI follows their own standard operating procedures If finance cannot see the ROI, they will conclude that AI does not work A little about Andy: Andy is the Co-Founder and CEO of Optura.ai, where he's on a mission to help healthcare organizations stop dabbling in AI and start seeing real returns from it. His team built an AI Orchestration Platform designed from the ground up for healthcare, giving organizations the infrastructure, trust, and clarity to turn AI ambition into measurable ROI. The platform does it all in one place: spotting high-value AI opportunities, building and deploying custom agents, unlocking data without the ETL headache, auto-generating workflows from existing SOPs, and tracking return on AI investment in real time. No black boxes, no guesswork. Just AI that actually proves its worth.

Virtual care is no longer just about access. It is now becoming the infrastructure layer that helps health systems reduce fragmentation, strengthen workplace safety, and scale digital care more intelligently. In this episode, Tammy Cress, Senior Vice President of Clinical Solutions and Innovation at Teladoc Health, discusses how health systems can move beyond fragmented telehealth strategies and start building more sustainable, integrated models of digital care. She explains how Teladoc is layering responsible AI onto its virtual care infrastructure through its Clarity solution, which helps sense, synthesize, and route the right information to the right care team member at the right time. Tammy also shares why workplace safety is one of the most urgent and practical use cases for these tools, how fragmented digital investments continue to drain staff and budgets, and why strategy, governance, and thoughtful alignment matter more than ever as organizations move from pilots to scalable transformation. Tune in and learn how health systems can rethink virtual care and AI adoption in ways that are more proactive, sustainable, and grounded in what truly matters.  About Tammy Cress: Tammy Cress, RN, MSN, is Senior Vice President of Clinical Solutions and Innovation at Teladoc Health, where she leads the development of healthcare solutions designed to meet real market needs and support growth across complex care environments. A nurse by training and a military veteran, Tammy brings deep experience in telehealth strategy, operations, and innovation. Before her current role, she held multiple leadership positions at Teladoc, Providence Health & Services, and Swedish, where she helped design, scale, and operationalize telehealth programs across multi-state health systems. Her background spans clinical operations, business operations, governance, product strategy, and service delivery, with a consistent focus on aligning technology investments to patient needs, frontline realities, and long-term organizational success. Things You'll Learn: Fragmented telehealth investments can create unnecessary strain for care teams, even when individual tools appear to deliver good results. Responsible AI can help reduce bedside cognitive burden by sensing what is happening in care environments and sending the right alerts to the right people. Workplace safety is a major healthcare challenge, and smarter room-based technology can help organizations become more proactive instead of reactive. AI and virtual care programs are more likely to scale when leadership aligns governance structures instead of treating digital tools as separate initiatives. Health systems need a clear strategy, stronger alignment, and a fresh look at prior investments if they want to move from pilots to sustainable transformation. Resources: Connect with Tammy Cress on LinkedIn. Follow Teladoc Health on LinkedIn and visit their website. 

In this episode, host Sandy Vance sits down with Gary Salman, CEO and co-founder of Black Talon Security, for a passionate and informative conversation about the growing ransomware crisis in healthcare. With over 30 years in health tech and a background as a part-time law enforcement captain, Gary brings a unique perspective to cybersecurity. He draws parallels between street-level crime and digital attacks.  Whether you lead a large hospital system or a small specialty practice, this episode is packed with practical insights on how to assess your cyber risk, respond to an active breach, and build a culture of leadership accountability before disaster strikes. In this episode, they talk about: About 90% of breached healthcare organizations end up paying the ransom Small practices are just as targeted as large health systems, especially those with strong insurance policies Lack of visibility across the full attack surface is the most common security blind spot Continuous Threat Exposure Management (CTEM) is replacing outdated point-in-time assessments Known Exploitable Vulnerabilities (KEVs) are a primary attacker entry point, yet most orgs patch them too slowly AI is helping hackers build malicious tools faster and with less technical skill During a breach, deciding how quickly to shut down the network is the most critical early call Most IT providers never deliver a documented risk report to leadership, leaving executives in the dark Gary's cyber risk grading tool gives non-technical leaders a real-time security score per facility Documented, improving risk scores can reduce regulatory penalties after a breach Most ransomware attacks are preventable with proper patching, configuration, and monitoring A Little About Gary: Gary Salman is the CEO and Co-Founder of Black Talon Security, a leading innovator in cybersecurity solutions for healthcare. With an impressive 32-year career in healthcare technology, Gary is both a seasoned security expert and visionary. In the late 1990s, he developed one of the earliest cloud-based dental practice management systems that was acquired by a publicly traded company in 2002. Gary also has a unique background, as he is still actively involved in law enforcement as a Deputy Sheriff. Under his leadership, Black Talon monitors and secures approximately 65,000 devices worldwide. The company provides cybersecurity services to a wide range of clients, from small practices to some of the largest healthcare organizations in the United States, including many of the top 20 Dental Service Organizations (DSOs). As a respected authority in his field, Gary is a frequent lecturer at major national dental association meetings. Black Talon's services are endorsed by numerous state and national associations, affirming his expertise and influence. His work has been highlighted in over 100 prestigious dental and medical publications, reinforcing his status as a thought leader in healthcare cybersecurity. Gary has also trained tens of thousands of healthcare professionals on best practices for securing their practices and clinics. Beyond preventative measures, Black Talon also specializes in cyberattack remediation, successfully guiding hundreds of healthcare organizations through recovery from security breaches. Their expertise is often enlisted by leading law firms and cyber insurance carriers, underscoring their prominence in the field.

Healthcare organizations cannot afford to chase every new technology trend without first building the foundation to make those tools effective, scalable, and financially sustainable. In this episode, Jeff Thomas, Senior Vice President and Chief Technology Officer at Sentara Health, discusses how his team is approaching cloud transformation, AI readiness, and cost management across a vertically integrated payer-provider organization. He explains why technology decisions must ultimately support better care delivery, how tech debt continues to slow innovation, and why data accessibility is the real prerequisite for meaningful AI adoption. Jeff also shares how Sentara has reduced system sprawl, flattened infrastructure costs while growing, and built a more resilient technology environment that supports both operational efficiency and clinician presence. He closes by emphasizing a point many leaders overlook: no technology transformation succeeds without strong change management. Tune in and learn how healthcare leaders can build a smarter, more disciplined path to innovation without losing sight of the people they serve.  About Jeff Thomas: Jeff Thomas is Senior Vice President and Chief Technology Officer at Sentara Health, where he leads technology strategy, cloud transformation, and infrastructure modernization for one of the region's major integrated healthcare organizations. With more than 20 years of experience across global infrastructure, operations, enterprise architecture, and application development, Jeff has led large-scale transformation efforts across healthcare, government, consulting, higher education, and commercial enterprises. Before joining Sentara, he held senior technology leadership roles at Smithfield Foods and the U.S. Securities and Exchange Commission. He is known for his focus on cloud consolidation, operational efficiency, and the use of technology to improve service delivery while reducing costs. Jeff holds an MBA from The College of William and Mary, a master's degree from Syracuse University, and a BA from Brigham Young University. Things You'll Learn: Technology investments only create value when they improve care delivery, reduce friction, and help clinicians stay present with patients. AI readiness depends less on hype and more on whether organizations can make their data accessible, timely, and usable for real-world inference. Reducing tech debt and system sprawl creates the capacity organizations need to innovate without letting infrastructure costs spiral upward. Healthcare technology leaders must manage IT like a business, balancing innovation with financial discipline, operational efficiency, and measurable outcomes. Successful transformation requires more than new tools, since lasting progress depends on helping people adapt to change thoughtfully. Resources: Connect with and follow Jeff Thomas on LinkedIn. Follow Sentarah Health on LinkedIn and visit their website.

Specialty care remains one of the biggest black boxes in healthcare, creating delays, unnecessary referrals, and major frustration for both patients and primary care providers. In this episode, Reza Sanai, co-CEO and co-founder of PicassoMD, discusses how his team is helping primary care providers access specialist expertise in near-real time while also improving the referral process when specialty care is truly needed. He explains why specialty access often breaks down at the point of care, how fragmented provider data makes navigation more difficult, and why better coordination between primary care and specialists can reduce unnecessary ER visits, improve triage, and speed access to the right care. Reza also shares how PicassoMD is supporting rural and underserved communities, why visibility into the patient journey matters so much, and how thoughtful partnerships are essential to making innovation work in real healthcare settings. Tune in and learn how smarter specialist access could help close one of healthcare's most persistent care coordination gaps.  About Reza Sanai: Reza Sanai, MD, FACC, is the co-CEO and founder of PicassoMD, a platform that gives primary care providers real-time access to a network of value-based specialists across major disciplines. Through curbside consultations and referral support, PicassoMD helps reduce unnecessary referrals and ER visits while improving care transitions, patient experience, and outcomes. In addition to leading PicassoMD, Reza has served in advisory roles with Mighty Health and VIDA Fitness & Aura Spa, and was previously a co-managing partner at Cardiocare LLC. He earned his Doctor of Medicine from The George Washington University School of Medicine and Health Sciences, where he was a member of the AOA Honor Society. Things You'll Learn: Specialty care often functions like a black box, making it harder for primary care providers to get timely input and coordinate the next step for patients. Real-time access to specialists can help primary care providers make better decisions, reduce unnecessary referrals, and avoid preventable ER visits. Referral quality depends on more than specialty type alone, since factors like language, mission fit, geography, and appointment availability all shape patient access. Rural and underserved communities benefit when technology connects providers and patients with specialist expertise that may not be available locally. Successful healthcare innovation depends not just on the product itself, but on strong partnerships and an iterative approach to implementation. Resources: Connect with and follow Reza Sanai on LinkedIn or reach out via email. Follow PicassoMD on LinkedIn and visit their website. 

Healthcare payments are still far too fragmented, creating friction for both patients and providers at one of the most important moments in the care journey. In this episode, Katie Whalen, Head of Strategic Partnerships for Merchant Solutions at Fiserv, discusses how Clover PracticePay is helping modernize payment workflows for small and mid-sized healthcare providers. She explains why healthcare remains underserved when it comes to efficient payment infrastructure, how disconnected systems create unnecessary back-office work, and why a better payment experience can also improve transparency, cash flow, and patient satisfaction. Katie also shares how Fiserv is bringing lessons from retail, restaurants, and other service industries into healthcare, using connected payment tools, claims reconciliation, and smarter patient-facing technology to reduce friction across the entire process. Tune in and learn how better payment experiences could become a powerful driver of transformation in healthcare!   About Katie Whalen: Katie Whalen is a payments and partnerships leader with deep experience across financial services, digital payments, and merchant solutions. She currently serves as Head of SMB Sales & Partnerships for Merchant Solutions at Fiserv, where she helps drive growth and innovation for businesses navigating an increasingly digital economy. Before stepping into this role, she spent nearly seven years at Fiserv as Senior Vice President for North America Issuer Processing. Her career also includes leadership roles at Citi, where she focused on global digital payments strategy, and at American Express, where she worked in strategy, operations, and business development for enterprise growth and digital partnerships. Earlier in her career, she held product leadership roles at Thomson Reuters and worked in public service through the City of New York and the U.S. Senate. Katie holds a BA from Cornell University and an MBA from NYU Stern, bringing together policy, strategy, and business expertise. Things You'll Learn: Healthcare payment systems are often fragmented, forcing providers to work across disconnected tools for claims, billing, and collections. This creates unnecessary administrative burden and slows down both staff workflows and payment reconciliation. Small and mid-sized healthcare practices have historically lacked access to the kind of payment technology already common in retail and other service industries. Modern platforms can help close that gap by making transactions easier for both practices and patients. A better patient payment experience depends on more than just accepting cards or digital payments. Transparency, convenience, and clear financial communication all play a role in helping patients feel more confident and informed. When payment collection and payer reconciliation are handled in one connected system, practices can reduce back-office friction and improve operational efficiency. This integration can also support healthier cash flow and a smoother overall workflow. Improving healthcare payments is not just about convenience at the point of transaction. It also creates opportunities for stronger information exchange across the broader care ecosystem, helping reduce inefficiencies over time. Resources: Connect with and follow Katie Whalen on LinkedIn. Follow Fiserve on LinkedIn and visit their website.

In this episode, host Sandy Vance sits down with Adam Kamor, Co-founder and Head of Engineering at Tonic.ai, to tackle one of the most pressing challenges in healthcare's AI adoption: what to do with sensitive data you legally cannot access.  Adam breaks down how Tonic AI helps healthcare organizations de-identify and synthesize unstructured data so they can train AI models safely, stay HIPAA compliant, and actually unlock the value sitting behind their firewalls.  If your organization is eager to build AI-powered workflows but unsure how to handle patient data responsibly, this episode is a must-listen. In this episode, they talk about: Most valuable healthcare data is too sensitive to use for AI training without de-identification HIPAA is actually an advantage because it gives organizations a clear roadmap for safe data use Tonic Textual replaces PHI in unstructured documents with realistic synthetic values Synthetic data must closely mirror real data for AI models to perform well in the field If a model is trained on PHI, it risks regurgitating patient information in outputs Privacy compliance should be addressed at the start of an AI project, not as an afterthought Many organizations do not realize solutions already exist to help them use their data safely A Little About Adam: Adam manages the team creating Tonic Textual, Tonic.ai's platform for unstructured data redaction and synthesis. He has spent the last 12 years as a leader at the intersection of data privacy, AI, and software engineering.

Artificial intelligence in healthcare isn't just about futuristic diagnostics or robots assisting surgeons. It's also transforming the operational backbone of the healthcare industry.  In this episode, host Sandy Vance sits down with Anand Kumar, Vice President of Healthcare at Genpact, to explore how AI-driven automation is reshaping everything from payer operations to member experience. Together, they unpack how healthcare organizations can cut through the “AI buzz,” identify meaningful use cases, and drive measurable outcomes. From contact center automation to actuarial modeling and prior authorization workflows, this episode dives into the real-world impact of AI and how human expertise and intelligent agents can work together to improve both operational efficiency and patient experience. If you're a healthcare leader trying to navigate the rapidly evolving AI landscape, this conversation offers practical insights into where the technology is delivering value today and what's coming next. In this episode, they talk about: Healthcare organizations are adopting AI-first strategies to improve efficiency and operational outcomes Successful AI transformation requires aligning people, processes, and technology AI tools are helping contact centers resolve patient and member issues faster Many healthcare organizations are seeing 20–40% improvements in operational efficiency AI is helping actuaries analyze large datasets and identify trends more quickly Human experts and intelligent agents are working together to handle complex healthcare decisions Leaders should prioritize partners who demonstrate proven outcomes and operational expertise A Little About Anand: Anand Kumar is a distinguished leader in healthcare and technology, combining deep clinical expertise with advanced digital innovation. As Vice President at Genpact, Anand drives transformative strategies that integrate AI-driven solutions, digital platforms, and operational excellence to deliver measurable outcomes for global clients. Holding degrees as a Medical Doctor (MD), Chartered Accountant (CA), and a Ph.D. in Computing and Artificial Intelligence, Anand brings a unique multidisciplinary perspective to solving complex healthcare challenges. His work spans data engineering, automation, and advanced analytics, enabling payers and providers to reimagine care delivery and optimize patient engagement. At HLTH USA 2025, Anand is shaping conversations around generative AI in healthcare, population health strategies, and next-gen digital ecosystems. His leadership reflects a commitment to innovation, collaboration, and patient-centric solutions that redefine the future of health.   

In this episode of the Cybersecurity at ViVE series on The Beat Podcast, host Sandy Vance sits down with Chad Alessi, Managing Director of Cybersecurity at CTG, for a wide-ranging conversation about what it really takes to protect healthcare organizations in today's threat landscape. With a background spanning chemical engineering, the U.S. Marines, energy sector Operational Technology security, and IT consulting, Chad brings a unique cross-industry perspective to healthcare cybersecurity. From the difference between cybersecurity and cyber resilience to the rise of AI-powered attacks, this episode is packed with practical insights for healthcare leaders who want to stay ahead of what is coming. In this episode, they talk about how: Cyber resilience focuses on operational continuity when an attack happens, not just prevention Breaches resolved within 200 days can save organizations over $1 million Bad actors often sit idle inside networks for months, collecting data before launching an attack Baseline requirements are identity-first security, including multi-factor authentication (MFA) and privileged access management Human-only Security Operations Center (SOC) models are too slow to keep up with today's automated, AI-powered attacks CTG uses Microsoft's Unified Security Operations (SecOps) platform to eliminate tool sprawl and improve response time Zero-trust architecture is expanding from department-level to enterprise-wide in healthcare New HIPAA regulations now require provable network segmentation for legacy medical devices AI-assisted security operations will continue to grow in the next few years A Little About Chad: As CTG's Managing Director of Cybersecurity, Chad Alessi leverages decades of experience in technology, cybersecurity, and operational strategy across enterprise and mid-market sectors to meet the evolving cybersecurity needs of clients in the U.S. During his time in IT consulting, Chad was instrumental in driving IT transformation in the company's regulated pipeline and gas processing business units. He holds a BS in Chemical Engineering, an MBA from the University of Alabama, an MS in Information Systems with a concentration in Information Security from Syracuse University, and post-graduate certifications in leadership, full stack development, cybersecurity, and cloud computing. Chad is known for his strong work ethic, integrity, resourcefulness, and service-based leadership, which he attributes to his time in the U.S. Marine Corps.

How can health systems help nurses confidently adopt and trust AI? We'll explore how nurse-led design, clear guardrails (policy, consent, privacy), and intentional change management strategies help when implementing AI solutions that reduce cognitive burden, elevate the patient experience, and meet frontline expectations for safety, control, and transparency. In this episode of the AI at ViVE series on the BEAT podcast, host Sandy Vance sits down with Angie Curry, BSN, RN, CCDS, Chief Nursing Informatics Officer at Microsoft, to discuss how ambient AI is finally giving nurses the technological support they deserve. They chat about everything from the documentation burden nurses face, to the importance of workflow fit in driving adoption, to the critical role of human oversight in building trust with AI. If you're a nurse leader, clinical informatics professional, or healthcare innovator thinking about ambient AI, this episode is a must-listen. In this episode, they talk about: Microsoft developed the first ambient AI solution designed specifically for nurses, integrated with Epic's mobile Rover app Nurses spend roughly 40% of their shift on documentation, making them a prime candidate for ambient technology The solution captures spoken nurse-patient interactions and converts them into flow sheet-ready documentation for nurse review Nurses remain in full control, reviewing and approving all AI-generated content before it enters the patient record Trust in AI adoption is less about the technology itself and more about whether it fits naturally into existing nursing workflows Ambient listening captures "invisible care" that nurses often skip documenting due to time constraints Organizations have seen success with piloting on dedicated innovation units before scaling system-wide Documentation habits and language vary across organizations so designing solutions with nurses rather than for them is critical A Little About Angie: As a Chief Nursing Informatics Officer at Microsoft, Angie is passionate about transforming the way nurses experience technology. Drawing on years of bedside experience, she understands firsthand the challenges of documentation and the profound impact it has on patient care. Her mission is simple: to help nurses reclaim time for what matters most, caring for patients. Angie works at the intersection of clinical expertise and innovation, partnering with healthcare leaders to design solutions that feel intuitive, reduce cognitive load, and restore the joy of nursing. From ambient AI to workflow optimization, she believes technology should empower—never overwhelm—the caregivers who keep health systems running. Two Sentence Summary of Podcast Focus: How can health systems help nurses confidently adopt and trust AI? We'll explore how nurse-led design, clear guardrails (policy, consent, privacy), and intentional change management strategies can help when implementing AI solutions that reduce cognitive burden, elevate the patient experience, and meet frontline expectations for safety, control, and transparency.

In this episode, host Sandy Vance chats with Frank Toscano, the new Senior Vice President of Product and Engineering at Amplify. They talk about the continued relevance of fax technology in healthcare, the challenges of interoperability, and how Amplify aims to streamline workflows to improve patient care. Frank highlights the importance of integrating fax technology with modern systems to enhance efficiency and reduce friction. In this episode, they talk about: Fax remains an important part of healthcare communication Many interoperability challenges come down to integration and mapping Prior authorizations often still depend on fax How Amplify supports healthcare organizations of all sizes Streamlined patient referrals can improve care delivery Healthcare is an interconnected ecosystem that affects outcomes Maximizing existing technology boosts operational efficiency AI helps connect data for better decision-making Effective solutions start with understanding real workflows Eliminating legacy technology isn't always the best option The future blends proven methods with modern technology A Little About Frank: Frank Toscano is a nationally recognized product and technology leader with more than 20 years of experience modernizing how healthcare organizations exchange documents, automate workflows, and connect systems through AI-driven interoperability. As Senior Vice President of Product & Engineering at Amplify, he serves as the company's public-facing technology voice and strategic advisor, guiding product innovation, engineering excellence, and enterprise integrations. Previously, as Vice President of Product Management at Consensus Cloud Solutions (eFax Corporate), Frank led the transformation of legacy fax into cloud-native, HIPAA-compliant interoperability services, delivering FHIR integration, TEFCA-aligned exchange, AI-powered document processing, and large-scale workflow automation used by thousands of healthcare organizations. A named inventor with multiple U.S. patents in secure communication and intelligent document workflows, Frank has also held senior leadership roles at Cellebrite, Cleo, and Retarus, consistently bridging deep technical architecture with real-world clinical and operational needs to reduce manual burden and improve care coordination.

In this episode, host Sandy Vance chats with Frank Toscano, the new Senior Vice President of Product and Engineering at Amplify. They talk about the continued relevance of fax technology in healthcare, the challenges of interoperability, and how Amplify aims to streamline workflows to improve patient care. Frank highlights the importance of integrating fax technology with modern systems to enhance efficiency and reduce friction. In this episode, they talk about: Fax remains an important part of healthcare communication Many interoperability challenges come down to integration and mapping Prior authorizations often still depend on fax How Amplify supports healthcare organizations of all sizes Streamlined patient referrals can improve care delivery Healthcare is an interconnected ecosystem that affects outcomes Maximizing existing technology boosts operational efficiency AI helps connect data for better decision-making Effective solutions start with understanding real workflows Eliminating legacy technology isn't always the best option The future blends proven methods with modern technology A Little About Frank: Frank Toscano is a nationally recognized product and technology leader with more than 20 years of experience modernizing how healthcare organizations exchange documents, automate workflows, and connect systems through AI-driven interoperability. As Senior Vice President of Product & Engineering at Amplify, he serves as the company's public-facing technology voice and strategic advisor, guiding product innovation, engineering excellence, and enterprise integrations. Previously, as Vice President of Product Management at Consensus Cloud Solutions (eFax Corporate), Frank led the transformation of legacy fax into cloud-native, HIPAA-compliant interoperability services, delivering FHIR integration, TEFCA-aligned exchange, AI-powered document processing, and large-scale workflow automation used by thousands of healthcare organizations. A named inventor with multiple U.S. patents in secure communication and intelligent document workflows, Frank has also held senior leadership roles at Cellebrite, Cleo, and Retarus, consistently bridging deep technical architecture with real-world clinical and operational needs to reduce manual burden and improve care coordination.

In this episode, Rajkumar Thirunavukkarasu, SVP & Head of Healthcare Provider Business at Tech Mahindra , and LaDonna Sweeten, EHR Practice Lead at The HCI Group, a fully owned subsidiary of Tech Mahindra, discuss how health systems can transform their EHR from a static system of record into a dynamic performance engine. The conversation also highlights a unique market differentiator: the combined strength of The HCI Group's deep EHR and provider-focused expertise with Tech Mahindra's global technology scale, engineering depth, automation capabilities, and innovation track record. Together, this partnership brings end-to-end capabilities—from EHR optimization and managed services to advanced data engineering, AI integration, and enterprise digital transformation—delivered at scale with measurable outcomes. Listeners will gain insight into how leading organizations are moving beyond implementation toward sustained transformation—leveraging global innovation, cross-industry engineering excellence, and healthcare-specific expertise to drive lasting value. In this episode, they talk about: HCI Group grew from staff augmentation to a full solutions provider after the Tech Mahindra acquisition Many providers aren't fully utilizing EHR systems despite heavy investment Providers face simultaneous pressure from workforce shortages, shrinking margins, and new regulations HCI and Tech Mahindra use each org's own data to tailor strategy rather than a one-size-fits-all approach AI is set to significantly disrupt revenue cycle management Ambient listening technology is reducing the clinician documentation burden End-to-end workflow reimagination is recommended over isolated AI pilots Patients now expect the same seamless experience from healthcare as they get from retailers Houston Methodist's new campus was cited as a model for automated, frictionless clinical workflows Value-based care is now mandatory, making urgent AI adoption a necessity not a choice A Little About Rajkumar and LaDonna: Raj T is a dynamic and accomplished business leader with over two decades of global experience in managing high-impact client relationships and driving growth in the healthcare technology space. Currently, Raj is serving as SVP & Head of Healthcare Provider Business at Tech Mahindra, where he leads strategy, delivery, and innovation for some of the world's leading healthcare organizations. Raj's collaborative leadership style and results-driven mindset have consistently delivered value to clients, making him a trusted advisor in the healthcare technology ecosystem. Raj is passionate about harnessing technology to improve patient outcomes, streamline provider operations, and enable data-driven decision-making across the care continuum. LoDonna leads enterprise healthcare technology strategy and delivery for health systems nationwide. She specializes in EHR transformation, workflow optimization, managed services, and digital enablement, partnering with executive leaders to ensure technology investments drive measurable clinical, operational, and financial impact. LaDonna uses data and best-practice benchmarks to identify performance gaps, prioritize high-value opportunities, and design targeted improvement roadmaps. She then applies structured governance and performance monitoring to mitigate risk and ensure intended benefits are realized. Her passion is helping provider organizations transform their EHR from a system of record into a data-informed performance engine that supports fiscal sustainability and provider resilience.  She understands that in today's margin-compressed and highly regulated environment, optimization has to be measurable and sustainable, not just aspirational. 

In this episode, host Sandy Vance chats with Hari Bala, the Chief Technology Officer for Health Information Systems at Solventum. Together, they explore how healthcare organizations can build trust and confidence around AI adoption, drawing on insights from Solventum's recent global survey of healthcare professionals. The research highlights a growing demand for AI alongside concerns that innovation could increase pressure on clinicians. Hari shares practical perspectives on how AI can support rather than overshadow providers, improve efficiency without compromising quality, and help organizations introduce new technologies in ways that feel safe and sustainable. Listen to learn how leaders can ensure clinicians feel comfortable incorporating AI into their daily workflows while improving the overall patient experience. In this episode, they talk about: The three key trust factors and why trust is the foundation for AI adoption Why trust is the currency of successful implementation The role of AI in improving patient care and clinician efficiency How speed and quality can improve together rather than compete Key findings from Solventum's healthcare AI adoption survey The cultural and mindset shifts required for successful implementation The impact of AI on the patient experience How leaders can evaluate potential technology partners A Little About Hari: Hari Bala joined Solventum as Chief Technology Officer for Health Information Systems in May 2025. He brings more than 25 years of experience building scalable, distributed systems using generative AI, data science, analytics, and machine learning across healthcare, cloud, and security. Before Solventum, Hari led AI, data, analytics, and cloud transformation initiatives at GE Healthcare and Oracle Cerner. At Oracle, he helped establish the AI Services organization and led development of the Health Data Intelligence and Analytics platform, a near real-time, cloud-based population health solution, while advancing AI and machine learning tools for clinical use. Earlier in his career, Hari spent nearly 19 years at Microsoft in leadership roles across Azure and several core enterprise technologies.

Today, host Sandy Vance sits down with Jeff McCool, the AVP of Healthcare Conversational AI at Amelia. Join a discussion with SoundHound AI, the leader in conversational intelligence, to learn how AI agents are helping healthcare companies overcome challenges like improving patient care and streamlining operations. Hear how the SoundHound Amelia Platform lets you build AI agents that understand, reason, and act so you can create the most seamless conversational experience.    In this episode, they talk about: The types of healthcare organizations Amelia partners with How Amelia's platform approach supports health systems in multiple ways beyond a single tool Working with clients to establish guardrails for safe and effective AI adoption How conversational AI is expected to evolve in the coming years Real-world implementation success stories and lessons learned What differentiates SoundHound AI's agents and the broader ecosystem created through partnerships Advice for healthcare leaders at provider and payer organizations navigating next steps with AI A Little About Jeff: Jeff McCool works at the intersection of healthcare and AI, helping organizations use conversational technology to solve real operational challenges. He is AVP of Healthcare Conversational AI at Amelia, where he partners with health systems to deploy AI-powered virtual agents that improve patient and employee experiences while reducing friction in everyday workflows. His focus is on practical AI adoption, what works in production, how teams implement it, and how to scale responsibly. Previously, Jeff held leadership roles at Ciox and Datavant Health, leading digital growth initiatives centered on interoperability, APIs, and healthcare data exchange. His background combines healthcare operations, technology, and go-to-market strategy. Jeff holds an MBA from UNC Kenan-Flagler Business School and a degree in Banking and Finance from the University of Georgia's Terry College of Business.

In this episode, host Sandy Vance and Ted Dinsmore discuss the ever-evolving role of AI in healthcare, industry trends, challenges, and solutions. They explore the concept of agentic AI and the Model Context Protocol (MCP), which aims to enhance data integration and efficiency in healthcare systems. They also highlight the importance of building trust in AI solutions, particularly in rural healthcare settings. Listen in to learn how SphereGen is addressing these challenges through innovative AI implementation approaches. In this episode, they talk about: Latest AI trend: agentic AI and bots, and MCP in the healthcare industry MCP allows us to speed up that integration Trust is a huge issue when you're having an impact on the patient The benefits of using MCP for hospitals and patients The concerns about the changes and cuts to rural healthcare The most common use cases when transitioning: eligibility, prior authorization, and denials management The effects on how healthcare systems are doing business with EHRs Next big use cases and what's coming up next Solving challenges in rural healthcare over the next few years How rural healthcare and homecare are tied At the end of the day, it's all about how AI can help free up time for people A Little About Ted: Ted Dinsmore is the President of SphereGen Technologies, located in New Haven, Connecticut, Toronto, Canada, and Pune, India. SphereGen is a software consulting firm that develops and supports custom software solutions for clients in AI and Automation, Application Development, and Extended Reality (AR, VR, MR). His experience in the world of IT spans over 30 years. When Ted started his first consulting firm, he became invested in developing and supporting Microsoft solutions for large multinational companies. Wanting to stay at the forefront of emerging technologies, his current company, SphereGen, embraces the world of AI/Automation and Mixed Reality (MR). SphereGen focuses on improving processes for healthcare organizations by leveraging innovative technologies, along with partners UiPath and Microsoft, to solve business problems.

Advances in data interoperability, democratized cloud access, and responsible AI governance are reshaping what is possible in healthcare innovation. In this episode, host Sandy Vance welcomes Jim Ducharme, Chief Technology Officer of ClearDATA, to discuss each of these forces impacting healthcare, from improving care through connected data, to empowering teams with greater cloud access, to building the policies and controls required to govern AI responsibly.  Their conversation highlights the importance of secure, scalable infrastructure as healthcare organizations adopt AI and expand data sharing. Jim shares practical insights on balancing innovation with risk management, building trust in cloud environments, and establishing governance frameworks that support compliance. In this episode, they talk about: ClearDATA's vision and the organizations they serve Technologies and solutions designed to protect sensitive patient data Understanding the financial and operational risks of cloud security failures How cloud democratization is making advanced technology more accessible The role of a secure cloud baseline in healthcare innovation Best practices for governance in data sharing and interoperability The relationship between AI and data trustworthiness How organizations can safely adopt and scale emerging AI capabilities A Little About Jim: Jim leads ClearDATA's Engineering, Product Management, and IT teams. He has more than 25 years of experience leading product organizations in the identity, integrated risk, and fraud management markets. Prior to joining ClearDATA, Jim served as Chief Operating Officer of Outseer, an RSA Company, where he served over 10 years in executive leadership roles. Prior to RSA in 2012, he served in executive leadership roles for Aveksa, CA, and Netegrity. Ducharme frequently speaks at industry events and regularly contributes articles to trade publications. Jim also holds several patents and a Bachelor of Science in Computer Science degree from the University of New Hampshire. He and his wife live in Maine in their dream log home, which was featured in Log and Timber Home Living magazine.

AI is revolutionizing how health information is managed. Utilizing sophisticated algorithms, it can assist professionals in making more informed decisions. For instance, optical character recognition (OCR) can read and interpret medical records, identifying potential compliance issues and ensuring every page represents the correct patient.  In this episode, host Sandy Vance chats with Anupriyo Chakravarti, the Chief Technology and Product Officer at Verisma, about how healthcare organizations can use intelligent automation to reduce risk and uncover compliance gaps in order to free staff to work at the top of their license.  In this episode, they talk about: What Verisma can do for healthcare organizations Use case examples Some of the risks Verisma mitigates by finding missteps like unauthorized disclosures  AI is taking over the world of informatics Enabling people to work at the top of their license is critical People are not anti-AI, they are anti-opacity A Little About Anupriyo: Anupriyo Chakravarti joined Verisma Systems, Inc. in 2017 as the Senior Vice President of Research and Development. Anupriyo brings 25 years of experience as a highly effective leader in healthcare IT product management and software development for Fortune 500 companies and startups. Anupriyo joined Verisma after serving as vice president of product management and marketing at McKesson, where he led the product management and marketing functions of the Extended Care Services (ECS) business unit. Before McKesson, he worked for 11 years at Surgical Information Systems (SIS), where he led software development, and ultimately product management, to deliver solutions for the surgery and anesthesia departments at health systems and ambulatory surgery centers. Prior to working with SIS, Anupriyo worked for Arthur Andersen, Ryder Dedicated Logistics, IBM and TATA Motors. Anupriyo has a bachelor's degree in mechanical engineering from IIT Roorkee in India.   

In this episode, host Sandy Vance chats with Dr. Sean Kelly, the Chief Medical Officer and the SVP of Customer Healthcare Strategy at Imprivata. Together, they unpack how healthcare organizations can strengthen cybersecurity without slowing clinicians down—exploring everything from mobile device security and passwordless authentication to adaptive authentication, risky user behaviors, and the very real implications for patient safety, workflow efficiency, and ROI for healthcare leaders.In this episode, they talk about:How cybersecurity can be improvedThe impact that Imprivata has on clinicians Why multi-factor authentication systems aren't more prevalent in the healthcare industryThe risky behaviors that open up organizations to security risksThe different things that Imprivata offers organizationsThe risks of patient harm in cybersecurity and privacyAdvice for CIOs or CFOs: workflow implications, security compliance, security and efficiency ROI, and financial valueAdaptive authentication at ImprivataA Little About Sean:Dr. Sean Kelly brings a uniquely well-rounded perspective to healthcare, shaped by a career that spans emergency medicine, healthcare leadership, technology, teaching, and entrepreneurship. An emergency physician at Beth Israel Lahey Health in Boston and an Assistant Clinical Professor of Emergency Medicine at Harvard Medical School, he is also the Chief Medical Officer and SVP of Customer Healthcare Strategy at Imprivata, where he helps guide product vision, go-to-market strategy, and customer experience after more than a decade with the company from startup through IPO and private equity ownership. He has led high-performing teams in both clinical and executive settings, contributed to care delivery improvements impacting millions of patients, published widely in emergency medicine and medical education, and earned multiple teaching awards. His background includes training at Harvard College, UMass Medical School, and Vanderbilt University, co-founding a concierge medical practice on Martha's Vineyard, international teaching and humanitarian work, and service in roles ranging from hospital administration to disaster relief—all grounded in a deep commitment to learning, mentorship, and collaboration.

The data necessary to achieve the promise of precision medicine are now available with low-cost whole-genome sequencing, microbiome analysis, proteomics, and other large datasets. Bioscope has developed a team of AI personas to help clinicians realize that promise in a way that will revolutionize the practice of medicine.In this episode, Sandy Vance speaks with Don Brown, MD, Founder and CEO of Bioscope, about how AI and large-scale biological data are converging to make precision medicine practical for clinicians. They explore Don's entrepreneurial journey, the origins of Bioscope, and how a subscription-based, clinician-first approach is shaping the future of personalized care.In this episode, they talk about:Don Brown's unconventional journey from double-wide to CEO of a groundbreaking companyThe inspiration behind founding Bioscope and the problem it was created to solveHow Don's “entrepreneurial bat signal” attracted talent, partners, and early momentumWhy Bioscope began by partnering with concierge medical practices rather than large health systemsHow Bioscope's per-patient, per-year subscription model works in practiceReal-world use cases and early case studies demonstrating clinical impactWhat the current early rollout looks like and where Bioscope is headed nextA Little About Don:Don Brown, MD, is a serial software entrepreneur, physician, and leader in precision medicine. Over his career, he has founded and scaled multiple groundbreaking technology companies, including Software Artistry, Interactive Intelligence, LifeOmic, and most recently Bioscope.AI. His companies have collectively generated billions in value through public offerings and acquisitions by organizations such as IBM, Genesys, and Fountain Life. In addition to his entrepreneurial work, Don is an active advisor, investor, and philanthropist, including a $30 million gift that established the Brown Immunotherapy Center at Indiana University School of Medicine.Don holds a bachelor's degree in physics and a master's degree in computer science from Indiana University, an MD from Indiana University School of Medicine, and a master's degree in biotechnology from Johns Hopkins University. A lifelong learner, he is fluent in multiple languages, an instrument-rated pilot, an avid outdoorsman, and the author of Understanding Life. He currently serves as Founder and CEO of Bioscope.AI, where he is focused on transforming how clinicians use data to deliver personalized care.

In this episode, host Sandy Vance chats with Sophie Cheng, the Senior Vice President of Product Marketing at Sinch. They discuss the most common communication pitfalls and share a handful of remedies so you can start sending smarter messages. You'll walk away with tangible tips on how to: ✔️ switch from omnichannel to optimal channel✔️ leverage AI to fix your no-show problem✔️ build patient trust through advanced messagingIn this episode, they talk about:What Sinch does and how it uses AI to simplify and personalize communication for customersHow AI-driven communication is being applied in healthcare and what leaders need to understandWhy better communication leads to faster interactions, improved patient experiences, and higher conversion ratesHow omnichannel communication strategies streamline workflows for healthcare organizationsHow Sinch helps organizations identify the right channels and interfaces for their patient populationsWhat it means to operate at the speed of trust, and why transparency mattersHow AI can make patient interactions feel more empathetic and humanWhy organizations should never underestimate the impact of their communication strategyA Little About Sophie:Sophie Cheng is the Senior Vice President of Product Marketing at Sinch, the global leader in CPaaS and the company behind the Customer Communications Cloud. With more than 15 years of international marketing experience, Sophie has held strategic roles across Europe, Asia, and North America, partnering closely with Product, Growth, and M&A leaders to manage complex, global portfolios. At Sinch, she leads global product marketing, partner marketing, and analyst relations, helping organizations deliver seamless, trusted communication experiences across messaging, voice, and email.Before Sinch, Sophie served as VP of Global Product and Customer Marketing at ZoomInfo and led Product Marketing at Chorus.ai. A true global citizen, she has worked extensively across EMEA, APAC, and the U.S. Sophie holds advanced degrees from the University of St. Gallen and Singapore University and is an active member of the CMO Alliance.

Enterprise IT is drowning in repeat incidents, slow triage, and reactive firefighting—burning teams out while costs rise and service quality slips. In this episode, Sandy and Umesh Shiknis of Publicis Sapient explore how Sapient Sustain uses AI-driven automation, predictive insights, and self-healing workflows to break the cycle, turning IT operations from constant crisis mode into a resilient, proactive engine that sustains the business. They also discuss how Publicis Sapient is leveraging AI to address challenges in the healthcare sector. They put an importance on modernizing legacy systems while also emphasizing the concept of agentic AI.Check out more about Sapient Sustain here: https://www.publicissapient.com/sapient-ai/sustainIn this episode, they talk about:Publicis Sapient focuses on human-centered digital transformation in healthcareAI can accelerate product development and modernize legacy systemsIt's easy to confuse automation with simple elements of machine learning, which are progressively more deterministicOrganizations must establish guardrails for AI implementation because of how powerful agentic AI can beSapient Sustain helps healthcare companies manage and stabilize their applicationsThe end-user experience is crucial in technology deploymentAI can significantly reduce technical debt in healthcare organizationsHealthcare leaders should look at the boring stuff and focus on practical AI applicationsEducate your workforce to embrace the future instead of fearing itA Little About Umesh:Umesh Shiknis is Executive Vice President and Global Chief Growth Officer at Publicis Sapient, a human-centered, product-led digital business transformation firm. He leads global growth and go-to-market strategy, scaling new buying centers, accelerating client impact, and driving transformational revenue across industries. Previously, Umesh held senior leadership roles at Capgemini, Infosys, and ISG. His current focus is on taking the Publicis Sapient AI product suite—Sapient Slingshot, Bodhi, and Sapient Sustain—to market, turning AI innovation into measurable, enterprise-wide outcomes.

In this episode, host Sandy Vance sits down with Michael Gao, Chief Executive Officer of Smarter Technology, to explore how artificial intelligence is reshaping revenue cycle operations in healthcare. Together, they dig into Smarter Technology's vision and the practical ways AI can help provider organizations better capture the full value of the care they deliver. Michael shares why the revenue cycle is overdue for improvement, how moving from physical to digital workflows can unlock meaningful gains, and what real-world ROI looks like when AI is applied thoughtfully. In this episode, they also talk about:Smarter Technology's vision for using AI in healthcareWhy the revenue cycle needs modernizationMoving from manual and physical processes to digital workflowsWhat ROI looks like when AI is applied to revenue cycle operationsKeeping human oversight where it matters mostCommon documentation and workflow challenges Smarter Technology helps addressAdvice for CFOs considering AI solutionsA Little About Michael:Mike is CEO of Smarter Technologies. He co-founded SmarterDx after discovering that hospitals were leaving significant revenue and quality opportunities on the table while he was leading AI at New York-Presbyterian. Prior to SmarterDx, Mike was an Assistant Professor of Medicine at Weill Cornell and Medical Director for Transformation for New York-Presbyterian. He completed his BS at the University of California, Los Angeles, his MD at the University of Michigan, and his Internal Medicine Residency and Silverman Fellowship for Healthcare Innovation at NewYork-Presbyterian/Weill Cornell.

About Leandro Boer:Leandro Boer, MD, PhD, is a seasoned global biopharmaceutical executive and physician specializing in cardiology and cardiovascular pharmacology. Currently serving as Vice President of US Medical, General Medicines at Amgen, he leads medical strategy and execution across cardiovascular, bone, neuroscience, nephrology, and obesity therapeutic areas, overseeing a nationwide organization of over 100 professionals. With more than two decades of experience spanning the United States, Latin America, Canada, Africa, and the Middle East, Dr. Boer has built a distinguished career at leading companies such as Amgen, AstraZeneca, and Novartis.His leadership has shaped global and regional initiatives in medical affairs, clinical development, real-world evidence generation, regulatory strategy, and implementation science. Clinically, his expertise covers resistant hypertension, type 2 diabetes, obesity, heart failure, chronic kidney disease, and hyperlipidemia. Known for combining scientific rigor with strategic vision, Dr. Boer has directed cross-functional teams supporting drug development, commercialization, and lifecycle management across multiple therapeutic areas.A medical doctor trained in cardiology with a Ph.D. in cardiovascular pharmacology from Universidade Estadual de Campinas, Dr. Boer has consistently demonstrated a commitment to advancing evidence-based medicine, patient outcomes, and collaborative leadership within the healthcare ecosystem.Things You'll Learn:The foundation of innovation lies in focusing on what never changes—patients, healthcare providers, and equitable systems of care.Amgen's precision medicine and data-driven strategies prevent “data waste” and ensure every insight contributes to patient outcomes.Machine learning tools like Atomic are accelerating clinical trials by predicting successful sites, leading to faster drug development.The company's bold goal to reduce cardiovascular events by 50% by 2030 relies on partnerships, AI, and implementation science.Representation in clinical research and decentralized trials is crucial to ensuring equitable access and meaningful outcomes for all populations.Resources:Connect with and follow Leandro Boer on LinkedIn.Follow Amgen on LinkedIn and explore their website.

In this episode, host Sandy Vance is joined by Julie Frey, Vice President of Product Management at Wolters Kluwer, for a thoughtful conversation on how artificial intelligence is shaping clinical intelligence across healthcare. Together, they explore how AI is supporting the work organizations are already doing, and how Wolters Kluwer helps teams identify meaningful use cases and turn innovation into real value. From trusted, evidence-based solutions like UpToDate and Lexidrug to the evolving standards around safety, reliability, and trust, this conversation digs into what responsible AI looks like in practice. They also discuss the wide range of healthcare use cases and why organizations need to define their own standards as they move forward with AI adoption.In this episode, they talk about:Wolters Kluwer has a range of evidence-based solutions that enable better care, including UpToDate® and LexidrugHow AI has impacted the services that Wolters Kluwer delivers through its productsDifferent types of use cases in healthcareHow they set the standard of what is safe, reliable, and trustedWhen it comes to AI, organizations need to develop their own set of standards for accuracy and effectivenessThe importance of prompt engineeringA Little About Julie:As the Head of Provider Product, Julie is a crucial support for healthcare providers incorporating market-leading clinical decision support and patient solution technologies, such as UpToDate®. She brings over a decade of experience in corporate and product strategy to her current role, having held various leadership positions within Wolters Kluwer.Before joining the Health team, she worked in strategy and risk analysis for Red24, now a division of Gardaworld. Originally hailing from South Africa, Julie earned her MBA from IE University.Julie approaches her role with the understanding that the clinical need for intuitive, personalized, visually compelling, and actionable workflows will only become more critical. She assists providers in meeting their highest-priority use cases.

Move beyond the hype in this episode as we explore how Agentic AI is actively reshaping clinical research by moving from theoretical concepts to real-world autonomous deployments. Tune in to discover how intelligent agents are accelerating trials today and exactly what this shift means for the future of your work.In this episode, host Sandy Vance is behind the mic with Michelle Longmire, the co-founder and Chief Executive Officer of Medable. Together they dive into what Medable is actually building and why it matters. They break down real examples of trials happening now, the evolving role of Clinical Research Associates, and how ambient and agentic AI are taking on the repetitive work that slows teams down. In this episode, they talk about:Medable's mission and long-term vision for clinical researchA pilot clinical trial Sandy participated in and what it revealedReal-world examples of clinical trials Medable is supporting todayThe evolving role of Clinical Research Associates in AI-enabled trialsKey use cases where Medable delivers the most impactHow ambient AI handles repetitive operational workWhy humans do their best work when focused on complex, meaningful challengesUsing generative and agentic AI in safe, deterministic waysCommon misconceptions about the risks of generative AIEmerging clinical research use cases expected in 2026A Little About Michelle:As the co-founder and Chief Executive Officer of Medable, Dr. Michelle Longmire is mission-driven to accelerate the development of new therapies for disease. A Stanford-trained physician-scientist, Dr. Longmire witnessed firsthand the critical barriers to drug development – including the time and costs associated with clinical trial participation. She founded Medable to pioneer a new category of clinical trial technologies that remove traditional roadblocks to participation and radically accelerate the research process. Medable is now the industry leader in decentralized and direct-to-patient research, with the ability to serve patients in over 120 languages, 60 countries, and across all therapeutic areas. In addition to having raised over $500M in venture capital and driving Medable to an industry-leading position, Dr. Longmire has received recognition as a leading innovator and businesswoman, including being named as one of the 100 most creative people in business by Fast Company.

The main obstacle preventing health systems from prioritizing AI over the next 3-5 years is not a lack of AI products in the market, but rather the challenges of integrating the technology into their existing workflows, and the uncertainty in measuring its return on investment (ROI). Newton's Tree's end-to-end AI governance platform delivers the necessary transparency and holistic oversight, empowering your multidisciplinary AI Governance Committee to drive confident AI adoption at scale across clinical and operational pathways.In this episode, host Sandy Vance sits with Haris Shuaib, the CEO of Newton's Tree, to discuss the speed at which AI is advancing and whether this pace is safe. They unpack what responsible, scalable AI governance really looks like. From hidden risks in data quality to the subtle ways AI behavior can drift over time, Haris breaks down why checks and balances aren't just a compliance exercise. They're essential to patient safety and organizational trust.In this episode, they talk about:How Newton's Tree helps governance committees confidently scale AI across clinical and operational pathwaysWhy so many organizations struggle with AI implementation—and where things most often break downWhat an effective process looks like for evaluating whether AI oversight is actually workingThe three things Newton's Tree continuously monitors: data quality, AI behavior, and clinical decision riskWhy closing the feedback loop is critical right nowPractical advice for CIOs navigating AI adoption—and how Newton's Tree supports themThe role of registries and observatories in responsible AI deploymentHow to ensure AI systems are safe and effective before they're put into real-world useA Little About Haris:Haris Shuaib is Founder and CEO of Newton's Tree, a startup dedicated to AI transformation at scale in health and care. He is Director of the Fellowships in Clinical Artificial Intelligence, the first clinical training programme for healthcare professionals to develop practical AI skills. He is also a Consultant Clinical Scientist and former Head of the Clinical Scientific Computing section at Guy's & St Thomas' NHS FT. Finally, he also holds a NIHR Doctoral Research Fellowship, where he is leading a national multi-centre trial to see whether AI can improve the treatment of glioblastoma.

In this episode, host Sandy Vance sits down with Dr. Zayed Yasin, MD, Global Head of Healthcare and Life Sciences at Writer, for a thoughtful and practical conversation about what AI really means for healthcare today. Drawing on his background as a clinician, Dr. Yasin shares how AI can eliminate the “boring” aspects of the job, allowing teams to focus on what matters most: patients and outcomes. Together, they delve into building effective clinical programs in value-based care, leveraging AI for payers, exploring real-world case studies, and examining why many organizations struggle with implementation. If you're curious about where AI is delivering real ROI right now (and why the best way to learn is to lean in and start working), this episode is for you.In this episode, they talk about:Dr. Yasin's background as a clinician and his interest in AI AI will help people focus on what's really important while taking away the boring parts of the jobBuilding the clinical program at a value-based care organizationHow to make these programs work for payersWriter case studies using this technologyWhy organizations struggle with implementing AIFuture big use cases in AILean in hard; you don't start learning until you start working ROI can be attained quickly in places with very little riskUnless you're an AI company, you're not an AI companyA Little About Dr. Yasin:Dr. Yasin runs the Healthcare and Life Sciences group at Writer, the end-to-end platform for enterprises scaling AI. After leaving academic emergency medicine, he built telemedicine and VBC businesses before leading Writer's HCLS AI transformation efforts.

In this episode, host Sandy Vance sits down with Parminder Bhatia , the Chief AI Officer from GE HealthCare , for a thoughtful, forward-thinking conversation about the rapidly shifting landscape of AI in healthcare. Together, they explore why healthcare is so ready for transformation, the four critical areas where change is most urgent, and how smarter systems can ease some of the industry's most complex workflows. Sandy and Parminder dig into how foundation models and the rise of agentic AI can finally help healthcare move beyond fragmented solutions. In this episode, they talk about:How AI is transforming a healthcare industry that's long overdue for changeThe four key areas where transformation is most neededStreamlining some of the most complex medical processesHow better communication and information can assist clinicians during labor and deliveryUsing foundation models to reduce fragmentation in healthcare AISupporting the multi-step workflows of radiologistsWhy agentic AI represents the future of healthcare innovationA Little About Parry:At GE HealthCare, Parry is focused on integrating AI across smart devices, across the patient journey, and at the hospital operations level. The company is a long-time leader in healthcare AI, topping the FDA's list of AI-enabled devices for four consecutive years with more than 115 authorizations. Parry's team advances AI within medical devices to improve patient outcomes, and he also serves on the company's responsible AI committee to ensure new solutions are reliable, scalable, and ethical. His work has earned recognition from Modern Healthcare's 40 Under 40, the AIM AI 100 Awards, and Constellation Research's AI 150. Before joining GE HealthCare, Parry was Head of Applied Science at Amazon, contributing to machine learning and generative AI products such as Amazon Comprehend Medical. He previously held AI and machine learning roles at Microsoft and Georgia Tech. He holds a B.S. in Computer Science from the Indian Institute of Technology and an M.S. in Computational Science and Engineering from the Georgia Institute of Technology.