Healthcare IT Today Interviews

Discharges for acute care facilities involve multiple inputs from multiple departments and can be chaotic. After the patient reaches a rehab setting or other post-acute care facility, key data about medications, procedures performed, and necessary interventions is often missing. Plus, problems go beyond mere availability of health data. In our recent interview with Hamad Husainy, Chief Medical Officer at PointClickCare, he shares that a discharge "summary" can be hundreds of pages long which makes it hard for a post acute care clinician to process.PointClickCare, the leading EHR for post-acute care in the U.S., now uses an AI tool called Discharge Intel to create a 1- to 2-page synopsis of the discharge information. The key to being useful, of course, is to capture what Husainy calls "the right information at the right time." Expectations for AI are rising in health care, he says: It has to be 99% accurate, or even more. They work hard to understand what clients need and Discharge Intel is a great example of them listening to customers and providing an AI solution that benefits patients and the post acute care providers.Learn more about PointClickCare: https://pointclickcare.com/Healthcare IT Community: https://www.healthcareittoday.com/

Heidi was around for years before LLMs and modern generative AI were developed. According to Chief Medical Officer Simon Kos, Heidi is the world's most used scribe, appearing in 190 countries and 110 languages. Their basic ambient scribe is free of cost, supporting remote and poorly served areas. With generative AI, Heidi now offers an "AI care partner" that automates "the whole clinical workflow journey": injecting context from patient documents before the consultation, infusing evidence that's traceable to high-quality clinical literature as well as local guidelines, filling out the note, doing coding and billing, and even making follow-up calls to patients afterward.Learn more about Heidi: https://www.heidihealth.com/Healthcare IT Community: https://www.healthcareittoday.com/

One-fifth of all the health care institutions in the U.S. were involved in mergers and acquisitions between 2015 and 2020. Harmony Healthcare IT helps firms through the data management aspect of a merger, especially with data conversion and archiving.In a a recent interview with Healthcare IT Today, Chief Revenue Officer Sharon Cook points out that acquiring companies are hoping to achieve cost reductions that go beyond merely reducing administrative staff and computer systems. They require "synergy" between the two merging companies, and that requires them to merge their data accurately.Learn more about https://www.harmonyhit.com/Healthcare IT Community: https://www.healthcareittoday.com/

Ruben Amarasingham, MD, Chief Medical Officer at Smarter Technologies, is often asked by medical students whether they're in the right profession. He responds that we may be entering a "golden era" for practicing medicine, thanks to AI.In the age of generative AI, it can follow clinical sessions and produce doctors' notes; AI can also automate much of the frustrating and time-consuming tasks related to revenue cycle management. But now AI can do much more by combining work on notes (the frontend) and RCM (the backend); this is the area where Smarter Technologies's  SmarterNotes operates.Learn more about Smarter Technologies: https://www.smartertech.com/Healthcare IT Community: https://www.healthcareittoday.com/

There is a lot of talk about staffing shortages and cost pressures in the health care industry. But Scott Gildea, Executive Vice President, Managed Services at Optimum Healthcare IT, has found that one challenge the providers have is just keeping up with the "cycle of innovation." He charactizes the technology of health care as being in a "constant state of innovation" that forces on providers a "constant state of implementation."In a recent interview with Healthcare IT Today, Gene Scheurer, Founder and CEO at Optimum Healthcare IT, and Gildea explain how the company is helping hospitals and health systems free their staff to focus on strategic change by creating a managed services platform—a Center of Excellence—that can take on routine operations and maintenance near shore in Costa Rica.Learn more about Optimum Healthcare IT: https://optimumhit.com/Healthcare IT Community: https://www.healthcareittoday.com/

In this video, we hear about trends and future expectations in health IT from LaDonna Worrell, Senior Director of IT Operations at Duke Health and Justin T. Collier, MD, Healthcare CTO North America at Lenovo.The hospital of the future is coming soon at Duke Health, which is planning to open a brand new facility in North Carolina in three years. Already, according to Worrell, three units at an existing hospital have been designated as "Beta units" (using a term common in computing for products that are not fully tested but are being tried out in real-life production). Some of the products being used there have been designated for the upcoming hospital They also have simulation labs.Collier listed several exciting technologies that he thinks will be central to health care. Top of the list, of course, is AI, which he prefers to call "assistive intelligence." Statistics report that the healthcare industry is adopting AI at twice the rate of other industries.Learn more about Lenovo: https://techtoday.lenovo.com/us/en/solutions/healthcareLearn more about Duke Health: https://www.dukehealth.org/Healthcare IT Community: https://www.healthcareittoday.com/

Ryan Howells, Principal at Leavitt Partners, envisions a wholesale move by the health IT industry to open standards, health care providers moving data from the EHR into their own data centers for more flexibility in AI use, patients sharing the insurance information with providers without paper cards, and 93% of prior authorizations requests answered in real time.In a recent interviw with Howells, we explore the regulatory and technical advances in interoperability that might even kill the clipboard that patients fill out on each visit. And yes, "Kill the Clipboard" is a reference to a paper that Howells and Leavitt Partners published wich many of the ideas expressed in the paper being reflected in CMS' Kill the Clipboard effort.Learn more about Leavitt Partners: https://leavittpartners.com/Learn more about the CARIN Alliance: https://www.carinalliance.com/Health IT Community: https://www.healthcareittoday.com/

AI models look great in validation studies. They clear regulatory review. Then they land in your hospital with different scanners, different workflows, and different staffing realities. That is where performance starts to drift.In this conversation, Dr. Khan Siddiqui, Founder and CEO of HOPPR, discusses a simple question: Does your AI actually work here? We explore why frozen AI models struggle site to site, how image acquisition differences change AI performance, and why some of the most valuable AI use cases in radiology are operational and financial.At the center of that discussion is what he calls an AI Foundry. Instead of shipping another fixed model, the Foundry gives health systems and radiology teams the infrastructure to fine-tune models against their own data, protocols, and risk thresholds. It shortens the path from idea to deployment and allows organizations to build solutions for problems that may exist in only one department. In other words, AI designed for a market of one.

Clinicians, health IT professionals, and policy makers all want to protect patient privacy. This is a hard goal, made harder by the increasing pressures to open up data and share it for treatment and research purposes, and harder still by the proliferation of state laws on data privacy. These laws are only getting stricter and more detailed, and are fragmenting wildly even as the federal government tries to bring everyone together around standards.The Sequoia Project, a nonprofit consortium, is dedicated to implementing data interoperability in health care, securely and respecting patient needs. In our recent interivew, we hear from two co-chairs of the Privacy and Consent Workgroup at The Sequoia Project: Mel Soliz and Kevin Day, where we learn more about these complex regulations and how their workgroup is providing guidance to make it simpler to navigate.Learn more about The Sequoia Project: https://sequoiaproject.org/Learn more about the Privacy and Consent Workgroup: https://sequoiaproject.org/interoperability-matters/privacy-and-consent-workgroup/Healthcare IT Community: https://www.healthcareittoday.com/

Interoperability looks solved on paper. In practice, clinicians are still switching systems, managing workarounds, and waiting on data that should already be there.In this conversation, Robert Fox, CEO of OntarioMD, breaks down why health IT progress depends less on new tools and more on coordination across systems, vendors, and care teams. He explains what convergence actually looks like in healthcare, why team-based care exposes the limits of point integrations, and where AI delivers real operational value beyond documentation.

Avoiding readmissions after acute care is just one manifestation of the move to value-based care, according to Shweta Shanbhag, Director Product Management at PointClickCare in a recent interview with Healthcare IT Today. She points out at least one out of every five Medicare acute stays results in admittance to a skilled nursing facility. It's important across the board for different teams to work together.She recommends that the various providers who are partnering in value-based care agree on a small set of shared metrics. These feed into shared goals of reducing readmissions and improving care.Learn more about PointClickCare: https://pointclickcare.com/Healthcare IT Community: https://www.healthcareittoday.com/

If your clinicians are still charting after dinner, you are not imagining the burnout curve. Many teams have hit the wall and are looking for relief that didn't require hiring staff they could not find.In this conversation, Dr. Derrick Hamilton of Juniper Health and Kathy Halcomb of White House Clinics share how NextGen Healthcare's Ambient Assist changed daily life for their clinicians. Along with Dr. Robert (Bob) Murry, Chief Medical Officer at NextGen Healthcare, they talk openly about pajama time, rising chart backlogs, unexpected early adopters, and the speed at which ambient documentation shifted patient, staff, and family experience. This conversation shows the surprising speed at which AI scribes can have an impact on a physician practice.What surprised you most about the results of implementing AI scribes at your organization? Share your experience below.

[SPONSORED] What happens to radiology workflows when the cloud is unavailable, connectivity drops, or systems are under strain? For many health systems, these scenarios are no longer hypothetical.In this interview, Karim Karti, CEO of RapidAI, explains how radiology AI platforms need to be built for real-world conditions. The conversation spans resilient cloud architecture that can shift on-prem when needed, why continuity matters in acute care like stroke, and how AI's long-term value in radiology is moving toward prediction rather than just faster reads.How are you thinking about resilience and continuity in your imaging and AI strategy? Share what you're seeing in your organization.

While collecting blood, Versiti collects data. Versiti is a nonprofit founded in 1947 with the two goals of providing a sustainable blood supply to clinical settings and advancing research. Over the past 20 years, the company has tripled in size and provides blood to more than 400 hospitals. The company is now using AI and partnering with Lenovo to improve donor outreach and research.On the blood donation side, Versiti tries to treat donors as well as a good clinician treats their patients. CIO Lynne Briggs says "we know who you are when you come in the door." Versiti integrates the data from all its partners. CEO Chris Miskel says they get more than 300,000 blood donors every year, so they are using AI to improve engagement and "be more donor-centric."One simple application is AI-drive chat, but Justin T. Collier, MD, Healthcare CTO in North America at Lenovo mentions also the use of AI to automate documentation and mundane tasks such as engaging with insurers. He says that the value of AI makes it worthwhile to collect more data and keep it "forever." AI can lead to meaningful insights and better research outcomes.Learn more about Lenovo: https://techtoday.lenovo.com/us/en/solutions/healthcareLearn more about Versiti: https://versiti.org/Healthcare IT Community: https://www.healthcareittoday.com/

[SPONSORED] Healthcare organizations invest heavily in analytics, yet improvement often stalls. Reports arrive late. Dashboards feel disconnected from real clinical work. In this conversation, we unpack why timing, trust, and ownership matter more than another metric.At IHI Forum 2025, Holly Rimmasch, Chief Clinical Officer and SVP of Improvement Services at Health Catalyst, and Kathleen Merkley, SVP of Clinical Improvement, spoked candidly about what actually drives measurable improvement in healthcare. They explore how near-real-time data, AI-guided prioritization, and frontline clinician ownership are changing how health systems approach sepsis, heart failure, cost management, and sustained improvement.

[SPONSORED] IT teams hear the same question every budget cycle: does interoperability actually pay off? It turns out the ROI shows up in places most organizations never track.In this interview, Muhammad Chebli, Vice President of Product at NextGen Healthcare, breaks down where interoperability creates measurable value across scheduling, referrals, inbox load and patient engagement. He also shares why Info Blocking enforcement is not about technology gaps but policy missteps and what NextGen's Kno2 partnership means for QHIN connectivity. Plus you'll hear why Chebli believes APIs are the future front-door to EHRs.

Staffing shortages. Growing waitlists. Fixed capacity. Radiology leaders are running out of room to experiment, and AI is moving from “nice to have” to operational necessity.In this interview, Roland Rott, CEO and President of Imaging at GE Healthcare, explains why health systems are rethinking how AI fits into daily radiology operations. The focus is not on future promises, but on how AI is already being used to save time, reduce friction, and turn long-unused data into practical workflow improvements. The discussion spans staffing constraints, trust in AI, and why operational impact is now driving adoption.

Healthcare organizations keep adding new tools, yet frontline frustration continues to grow. More dashboards. More data. Slower decisions. This conversation digs into why focusing on integrating existing technologies together can make a bigger difference for clinicians and patients.In this interview, Josh Clark, Vice President of Quality & Safety Operating Systems at the Institute for Healthcare Improvement (IHI), shares what he's seeing across health systems globally. He explains why integration, not acquisition, has become the real bottleneck in healthcare IT, how delayed data undermines frontline decision-making, and where process-level insights can improve care in real time.Josh also discusses why IHI often advises organizations to pause new technology adoption, how CIOs can gain space to focus on integration, and where AI has the most practical potential to improve quality and safety without adding more burden.

Imaging demand keeps rising, but building new capacity is slow, expensive, and disruptive. What if mobile imaging could feel less like a workaround and more like an extension of the hospital?In this interview from RSNA25, Henry Howe, CEO of Akumin, and Greg Sitkiewicz, Chief Commercial Officer, explain why the company introduced a mobile drop trailer that lowers directly to ground level. They discuss how small design decisions change patient access, staff workflow, setup time, and imaging throughput, especially for health systems dealing with backlogs or rural coverage gaps.You'll hear how the drop trailer removes stairs and lifts, deploys in minutes, integrates with hospital IT systems, and supports higher patient volumes.

[SPONSORED] Health IT roadmaps used to span years. Now they are collapsing into months. The question many leaders are asking is whether vendors can actually keep up.In this interview, David Cohen, Chief Product and Technology Officer at Greenway Health, explains why the pace of change in healthcare has outgrown traditional multi-year planning cycles. He shares how Greenway is shifting to shorter delivery timelines to stay aligned with what ambulatory practices need right now, using provider–payer data exchange as a clear example of where faster execution matters.The conversation also touches on why manual workflows are becoming harder to justify, how expectations around delivery speed have changed, and what healthcare IT leaders should listen for when vendors talk about their roadmaps.How have shorter timelines changed what you expect from your technology partners?Where do you feel the most pressure to move faster?

AI is everywhere in healthcare. The challenge now facing providers is determining where it actually helps without getting in the way.In this conversation, Demetri Giannikopoulos, Chief Innovation Officer at Rad AI, unpacks why radiology has become one of the most practical proving grounds for clinical AI and how specialization changes clinician confidence in the technology.He shares his view on why radiology workflows are uniquely suited for AI support, how staffing shortages are shaping adoption, and why trust comes from AI that understands clinical context rather than adding more noise. The discussion also explores how reporting and dictation have become natural control points for AI that supports accuracy, throughput, and clinical judgment.

Radiology teams are stretched thin. Cloud imaging, once pitched as a boon for IT teams, is now seen as a technology that gives radiologists time back, allows them to work the way they need to, and improves access for patients. In this conversation, Dario Arfelli, Global Marketing Lead for Imaging Informatics at Philips, breaks down why cloud imaging discussions have shifted away from infrastructure and toward time, access, and workforce reality. He explains how cloud-based diagnostic viewing is changing where radiologists can work, how IT teams manage upgrades and security, and why flexibility has become a staffing issue, not just a technical one.Is cloud imaging changing the way your teams work today? Drop your perspective in the comments.

Skepticism around AI scribes is common, especially in busy primary care settings. But when the workflow fits and the tool actually removes work, adoption can be surprisingly quick. In this conversation, Dr Ryan McFarland, Family Physician and Board Member at Hudson Physicians, breaks down how Oracle Health's Clinical AI Agent changed documentation across their multispecialty group. He shares the moment a skeptical physician became a believer in under two minutes, how ambient listening improved follow-up accuracy, and what happened when Oracle's engineers watched real clinical workflows up close.What has your experience been with ambient AI or clinical documentation tools? Drop your thoughts below.

Geospatial AI sounds like science fiction until you see it applied to real problems. Then it gets very practical, very fast.In this conversation, Dr. Este Geraghty, Chief Medical Officer at Esri, talks through how satellite imagery and location intelligence are being used to answer questions that once took weeks or months to resolve.She covers how AI-powered image analysis can identify accessibility curb ramps across an entire city, assess wildfire damage to individual homes in minutes, and help health systems and public agencies respond faster during emergencies. Dr. Geraghty also breaks down the difference between geoAI, AI assistants, and agentic AI, and why lowering the barrier to insight matters just as much as the analytics themselves.

Every IT leader knows the pain of workflows that break the moment they cross a departmental line. Sri Velamoor isn't tiptoeing around it. He argues the silos themselves are the problem.Sri Velamoor, President and CEO of NextGen Healthcare, lays out a direct challenge to how physician practices structure their systems and teams. He explains why clinical, RCM, and patient-experience workflows no longer function as separate jobs and why AI makes the divide even harder to sustain. Velamoor also opens up about quarterly releases, No UI as the New UI, and how 90 percent of NextGen engineers are already using AI-assisted coding.

Jay Nakashima, President at eHealth Exchange, discusses in this video interview some recent hot developments in health data exchange, and how he expects it to expand in the future.HHS's TEFCA project has been in force for some time, while the CMS-Aligned Network is new and has created confusion in the industry about the relatinship between them (Note: Steven Posnack has a great article that works to clear this up). eHealth Exchange is a designated QHIN under TEFCA and plans to implement the criteria necessary to become a CMS-Aligned Network as well. Nakashima recommends that anyone who has started to work with TEFCA continue to do so.He calls TEFCA "prescriptive" and thinks that more varied options will become available.Learn more about eHealth Exchange: https://ehealthexchange.org/Healthcare IT Community: https://www.healthcareittoday.com/

Getting patient data to the proper person—including doctors and the patients themselves—is a many-layered task involving standards, privacy protections, consent, and usability. In our recent interview, Mariann Yeager, CEO at a major nonprofit in health interoperability, The Sequoia Project, describes the organization's continuing work and upcoming plans.Check out our interview with Marianna Yeager from The Sequoia Project to learn more about the ways they're making health data sharing more trusted and compliant.Learn more about The Sequoia Project: https://sequoiaproject.org/Healthcare IT Community: https://www.healthcareittoday.com/

Radiology teams don't need more dashboards. They need clearer signals about capacity, and better image quality. This conversation looks at how small, practical changes, powered by AI, make a real difference.In this video, Lily Belcak, Customer Success Leader at GE Healthcare, explains how analyzing DICOM data directly from imaging devices helps health systems better understand how long exams actually take and where schedules can be adjusted. The result is more accurate appointment planning and improved access without adding staff or equipment.You'll also hear from Laura Hernandez, Chief Marketing Officer for Women's Health and X-ray at GE Healthcare, on how Pristina Recon DL focuses on image clarity and reading efficiency. Clearer images support faster reads for radiologists and reduce the need for repeat scans, especially in breast imaging where precision matters.

Sending data over the wire is just the start of health care data interoperability. Other critical tasks include identifying the right destination (in other words, a directory), identifying the patient and other security practices, and getting patient consent. In this video, we hear about these topics from two co-chairs of the HL7 FHIR at Scale Taskforce (FAST): Jason Teeple, Senior Director Enterprise Architecture and Interoperability Strategy, Evernorth and Duncan Weatherston, CEO at Smile Digital Health.Learn more about EverNorth: https://www.evernorth.com/Learn more about Smile Digital Health: https://www.smiledigitalhealth.com/Learn more about HL7 FAST: https://confluence.hl7.org/spaces/FAST/overviewHealthcare IT Community: https://www.healthcareittoday.com/

Sepsis has been on hospital priority lists for years, yet it still slips past clinicians every day. The challenge is not awareness. It is variability, speed, and too many signals competing for attention.In this conversation, Robin Carver, Senior Vice President of Commercialization at Prenosis, explains why sepsis is so hard to diagnose early and how a more precise, biologically grounded approach is changing the conversation. She shares why broad alerts often fail, how individual immune response plays a critical role, and what narrowly focused, FDA-authorized AI can realistically add to clinical decision making.How do you reduce noise without missing risk? And what does “augmented intelligence” actually look like at the bedside? Robin walks through real data, real constraints, and what she sees as the next stage of AI in acute care.

Hyland Brings Enterprise Content Management to Pathology with TribunDigital pathology adoption is picking up speed, but many organizations are discovering that scanners and AI alone do not solve the hard problems. The real challenge is the lack of standards that holds back efforts to scale and optimize. In this interview, Michael Campbell, Chief Product Officer at Hyland, breaks down why enterprise content management is becoming essential for digital pathology. He explains Hyland's partnership with Tribun Health, how responsibilities are split between digitization, analysis, and backend imaging governance, and what health IT leaders should be thinking about as pathology moves beyond pilot programs. The conversation also touches on Hyland's broader product roadmap, including how agentic AI fits into enterprise workflows and why transparency and auditability matter for adoption.Where do you see the biggest bottleneck in digital pathology today? Is it technology, standards, or operational governance? Share your perspective in the comments.

Cloud imaging promised speed and simplicity. Many health systems got longer rollouts, higher costs, and workflows that still feel tied to the data center. The issue isn't the cloud. It's how imaging platforms were designed to use it.In this conversation, Brad Levin, General Manager, North America at Visage Imaging, explains why streaming-first architecture changes the equation. The discussion covers why hosted PACS struggle to scale, how six-to-nine-month go-lives can/should be the norm, and why enterprise imaging works better as a single platform rather than stitched-together modules.Share your perspective on cloud imaging and the Netflix-approach in the comments.

Healthcare still runs on fax. The real question is what happens after those documents arrive.In this conversation, Roy Vincent, Vice President of Sales & Marketing at medQ, and Marianne Soucy, Solutions Engineer at Consensus Cloud Solutions, unpack why unstructured data remains so deeply embedded in healthcare and how it slows radiology workflows, intake processes, and patient care. They explore what changes when unstructured data (like faxes) becomes visible, readable, and routable inside clinical systems, and why speed has become a patient safety issue, not just an efficiency metric.

Most leaders talk about AI. Far fewer put it to work inside their own walls. This conversation digs into what happens when a healthcare IT company decides to rebuild its operations, engineering cycle, and support model around AI instead of waiting on the sidelines.In this interview, Richard Atkin, CEO of Greenway Health, explains why he returned to the role and why he believes the company needs to move faster on AI development. We cover Greenway's internal deployment strategy, the creation of its new Agentic AI Factory with AWS, and how AI tools are reshaping release velocity and customer support. Atkin shares real examples from inside the organization, including how “Gale,” Greenway's AI support agent, is already changing day-to-day work.

When a claim fails because of a missing field or outdated insurance detail, it is easy to blame the billing process, but it is incomplete or inconsistent information captured at registration that is often the root cause. This seemingly innocuous oversight may be the reason why AI adoption in revenue cycle management (RCM) has been slow. In this conversation, Clarissa Riggins, Chief Product Officer at Experian Health, and Amy Trogdon, Vice President of Patient Access at Integris Health, break down why AI adoption in RCM depends on accurate front-end data and workflow fit. They share what they learned rolling out Experian's Patient Access Curator inside Epic and how real-time coverage validation is reshaping staff trust and efficiency. You will hear candid insights about workforce strain, error-prone processes, and why many AI projects stall before they start.

[SPONSORED] AI scribes have quickly become part of the daily routine for many clinicians. The question now is whether that momentum keeps building or slows as attention shifts to other operational priorities.In this interview, Dr. Michael Blackman, Chief Medical Officer at Greenway Health, talks about what he is seeing on the clinical front one year after launching their ambient scribe. He shares why he thinks this approach to documentation is here to stay and why he views it as the first step rather than the finished product. He also touches on unexpected moments from early use and what he believes is possible next.Do you think the pace of AI innovation will slow down or speed up or stay the same in the year ahead? Share your thoughts below.

Sending data over the wire is just the start of health care data interoperability. Other critical tasks include identifying the right destination (in other words, a directory), identifying the patient and other security practices, and getting patient consent. In this video, we hear about these topics from two co-chairs of the HL7 FHIR at Scale Taskforce (FAST): Jason Teeple, Senior Director Enterprise Architecture and Interoperability Strategy, Evernorth and Duncan Weatherston, CEO at Smile Digital Health.Learn more about EverNorth: https://www.evernorth.com/Learn more about Smile Digital Health: https://www.smiledigitalhealth.com/Learn more about HL7 FAST: https://confluence.hl7.org/spaces/FAST/overviewHealthcare IT Community: https://www.healthcareittoday.com/

If you've ever wondered why ambulatory EHRs feel stuck in time, you're not alone. A lot of clinicians and IT leaders have been waiting for signs of real movement, and this conversation surfaces why the shift may finally be underway.In this interview, Troy Wasilefsky, Chief Revenue Officer at Greenway Health, talks about the stagnant EHR market, the practical roles AI can play inside physician practices, and why owning both the clinical record and the automation layer matters. He shares direct feedback from customers, where AI helps most, and how the architecture of EHR systems is finally catching up to long-promised functionality.Where do you see AI making the biggest near-term difference in ambulatory care? Drop your thoughts in the comments.

Will AI actually fix the problems in front of us, or will it fade out the way blockchain did in healthcare?In this conversation, Tilak Mandadi, EVP Ventures and Chief Experience and Technology Officer at CVS Health, tackles that question head on. He lays out what it will take for AI to have real impact and why the next five years will determine whether healthcare changes for the better or breaks under its own weight. He also shares how CVS Health is using AI today to support pharmacists, reduce administrative burden, and improve access without crossing clinical or ethical lines.How are you approaching AI inside your organization, and what guardrails matter most to you? Share your perspective in the comments.

One of the biggest challenges that healthcare faces with heart failure patients is the high number of hospital readmissions that occur. These readmissions are expensive to healthcare organizations, a bad experience for patients, and many of them are completely avoidable. This is according to Spencer H. Kubo, MD, Chief Medical Officer at CareCognitics and Shahid Shah, Member, Board of Directors at CareCognitcs who sat down to talk with me about their innovative VIP reward solution that's help heart failure patients avoid being readmitted to the hospital.Learn more about CareCognitics: https://carecognitics.com/Health IT Community: https://www.healthcareittoday.com/Learn more about VIP Care: https://www.vipcarehealth.com/

If you've ever felt like “one big AI” can't possibly handle the complexity of healthcare, you're not alone. Clinical work moves in too many directions for a single model to reliably keep up.In this interview, Jacob Sims, Chief Technology Officer at NextGen Healthcare, explains why they have taken the approach of coordinated teams of specialized AI agents and what that means for clinicians, IT teams, and product leaders. Sims breaks down the thinking behind Nia™, how fairness shapes their AI design, and why everyday experimentation drives more progress than any formal training program. He also shares real examples like a 40 percent reduction in case resolution time thanks to AI-assisted log analysis

The common, classic fax is a fascinating case study in the difficulties of automation. Watch this video as Jess Czelusniak, Associate Vice President of Applications and CNIO at VHC Health, and Tim Hoskins, Vice President of Solutions Architecture at Vyne Medical, discuss the challenges of classifying and sorting incoming fax documents. Through machine learning, automation, and staff training, they reduced the process from 10-15 minutes (described in a 29-page document) to less than 3 minutes per fax, and are reducing the burden even further.Learn more about VHC Health: https://www.vhchealth.org/Learn more about Vyne Medical: https://vynemedical.com/Healthcare IT Today: https://www.healthcareittoday.com/

It's easy to talk about AI in broad terms. It's harder to show how the technology supports a person trying to navigate benefits, costs, or a complex health journey. That's exactly what Mike Serbinis and Sarah Donnelly break down here.In this interview, Mike Serbinis, CEO of League, and Sarah Donnelly, the company's Chief Product Officer, break down how their multi-agent approach works and why it was designed around four persistent friction points in healthcare. They explain how these agents coordinate inside one platform and share what they're learning from early deployments, including Baptist Health's Hello Pregnancy pathway in Arkansas.Where do you see multi-agent AI having the biggest impact in healthcare?

Every clinic wants a simple recipe for digital health adoption. The problem is that most recipes fall apart the moment real-world workflows enter the picture.In this conversation, Dr. Chandi Chandrasena, Chief Medical Officer at OntarioMD, lays out why the province is shifting toward a flexible digital health toolkit instead of a rigid playbook. She explains why “technology is an enabler to the problems you have,” why standardization still matters, and why uniformity misses the mark.She also digs into AI scribes, the rise of AI inbox tools, how bandwidth gaps drive inequity, and why digital literacy needs to start long before medical school.What do you think clinics need most right now: structure, flexibility, or better guardrails? Drop your thoughts in the comments.

As those who read Healthcare IT Today regularly know, we attend a lot of healthcare IT conferences throughout the year. One of the newest conferences we attend that has grown to be one of the most influential is the ViVE conference that is co-organized by HLTH and CHIME. As ViVE is just around the corner, we thought it would be valuable for healthcare IT leaders that are attending or still considering whether they should attend to get a preview of the event from the organizers.In our interview below, we sat down with Alifya Parekh, Senior Content Manager and Leah Callahan, Senior Content Manager at HLTH. We kick off our discussion by asking them what the business case is for a CIO or healthcare IT leader at a hospital or health sysetm to attend ViVE 2026 happening Feb 22-25, 2026 in LA.Learn more about ViVE: https://hlth.com/events/vive/Healthcare IT Community: https://www.healthcareittoday.com/

Healthcare IT leaders are finding innovative ways to address one of medicine's challenges: the exponential growth of clinical knowledge that physicians must navigate daily. In our recent interview, we hear from Julia Vu, Pharm.D., Vice President, GTM North America at Elsevier and Colin Banas, MD, MHA, Chief Medical Officer at DrFirst about their partnership to integrate AI-powered clinical decision support directly into e-prescribing workflows.Both leaders bring extensive backgrounds in clinical informatics, having worked through the Meaningful Use era and witnessed firsthand the challenges of fragmented systems and information overload. Their collaboration addresses a critical gap: providing physicians with trusted, evidence-based content at the moment they need it, without adding to alert fatigue.Learn more about ELSEVIER: https://www.elsevier.com/Learn more about DrFirst: https://drfirst.com/Healthcare IT Community: https://www.healthcareittoday.com/

Ben Beadle-Ryby, Senior Vice President and Co-founder at AKASA, says that a typical patient record contains 50,000 words spread across 59 clinical documents. Trying to code a single patient's conditions is comparable to reading The Great Gatsby and extracting key facts.Historically, he says, organizations "have thrown armies of people at the problem." Not only is that unfeasible; these people are not as accurate they need to be. Due to this and other reasons, claim denials have increased from 9.8% in 2019 to 12.7% now. Other revenue cycle measures have also gone in the wrong direction: for instance, cost to collect has gone from 2.7% in 2019 to 3.7% today.This video at the AHIMA Annual Conference interviews Beadle-Ryby along with two clients: Nick Judd, Senior Director, Revenue Cycle and Health Information Management at Cleveland Clinic, and Jennifer Nicholson, Assistant Vice President, Revenue Cycle and Health Information Management at Duke University Health System. They talk about leveraging generative AI solutions for coding and the benefits of leveraging this technology.Learn more about Cleveland Clinic: https://my.clevelandclinic.org/Learn more about Duke University Health System: https://www.dukehealth.org/Learn more about Akasa: https://akasa.com/Healthcare IT Community: https://www.healthcareittoday.com/

Just as Internet providers and transportation companies often struggle with the "last mile" of reaching the customer at the end of the chain, hospitals are too often blind to what's happening in the patient's room. This problem drives the recent acquisition of eVideon, smart room solution provider, by TigerConnect, a unified communication platform. In this video we hear about the goals of the combined companies from Sean O'Neal, CEO of TigerConnect, and Jeff Fallon, General Manager of eVideon, a TigerConnect Company.Learn more about TigerConnect: https://tigerconnect.com/Learn more about eVideon: https://www.evideon.com/Healthcare IT Community: https://www.healthcareittoday.com/

If you've ever watched a clinician dig through an EHR for a single piece of information, you know the look. The pause. The sigh. The slow click-through of screens that feel like they were designed for someone else.This conversation starts with the moment that broke that pattern.In this interview, Dr. Max Solano, hospitalist and clinical informatics advisor at Ascension, explains how a workflow burden he had simply accepted for years disappeared the moment Wellsheet went live. He shares what it meant to see an echocardiogram that once required 12 clicks appear instantly on the screen.Joining him is Craig Limoli, CEO and Co-Founder of Wellsheet, who talks about clinician-led design, rapid customization, and what it takes to gain the trust of an entire care team. You'll hear real examples of AI-driven summarization, collaborative workflows, and what happens when a vendor actually responds to feedback the next day.What “12-click problem” are your clinicians living with right now? Drop your thoughts below.

Shawn Fichter, CEO and Head of Product at Legacy Data Access, believes that archived clinical, financial, and operational data represents an untapped resource for health systems. However, access to legacy data must be done in a way that doesn't increase the risk of a breach. The balance between these needs – along with the financial and operational benefits of archiving legacy applications – is at the core of our discussion with Fichter at the AHIMA conference.Listen and subscribe to the Healthcare IT TodayHealthcare IT Community: https://www.healthcareittoday.com/

Hospitals and clinics in some areas see enormous numbers of people who don't speak the local language well. While human interpreters have been common in exam rooms during patient care, it turns out that interpretation is beneficial throughout many areas of healthcare that previously haven't had easy access to interpretation. That's the problem Pocketalk addresses with technology that provides secure language translation throughout a healthcare organization.Pocketalk is differentiated from consumer translation services by prioritizing security and providing technology that's optimized for healthcare, which is both HIPAA and GDPR compliant. By default, Pocketalk has translation history turned off, preventing conversations from being stored and guaranteeing privacy. For hospital systems that require reporting for compliance, transcripts can be saved in the history settings. However, transcripts aren't displayed on the home screen, which prevents visitors from reviewing what has been said to previous patients. Transcripts can also be deleted and the device can be set to automatically delete conversations after a specified amount of time.Pocketalk offers an accurate and secure machine translation service in over 92 languages. Jeff Burrow, Pocketalk's National Healthcare Director, says that in addition to medical discussions (for which it offers a large medical terminology directory), clinical sites use it for patient transport, wayfinding, parking lots, gift shops, food services, environmental services, and more. The device takes only about 10 minutes or less to learn and little to no formal training required, making deployment efficient and easy.Learn more about Pocketalk: https://pocketalk.com/Learn more about Augusta Health: https://www.augustahealth.com/Healthcare IT Community: https://www.healthcareittoday.com/