Healthcare IT Today Interviews

In every corner of health care—as with other industries—software tools are adding AI capabilities. AI has now come to HIPAA-compliant chat, as explained in this video by Jackie Frey, Product Expert - Healthcare at Zenzap.Chat and text messaging themselves are complicated in a regulated environment. In the first part of our interview, Frey explains what secure chat must offer to be useful to healthcare organizations. Then, she shares what can go wrong when health care staff resort to common, insecure channels such as email and standard text messaging.Learn more about Zenzap: http...

[SPONSORED] Custom APIs Are Failing Interoperability: How Agentic AI Replaces Manual Data Entry Healthcare systems spend billions attempting to force disparate software to connect through complex data standards. What if agentic AI could solve the problem without complex integration or the need for universal agreement on data standards?In this interview, Rishi Nayyar, CEO of PocketHealth, explains how their platform, Conductor, automates longitudinal workflows across legacy systems. Discover why electronic health records are engineered for data storage rather than process orchestration, and learn how applying automated AI agents directly to user interfaces solves cross-system bottlenecks...

The sudden emergence of AI models for all sorts of healthcare procedures, along with advanced hardware such as NVIDIA's GPU processors, creates questions for healthcare practices that want to improve outcomes and costs with these technologies. In a recent video interview, Dan Schneider, Enterprise Platforms Product Specialist at NVIDIA, and Sandra Colner, GM Global Healthcare & Life Sciences at Dell Technologies dove into these important topics and shared some key insights as healthcare leaders navigate AI in their organization.Learn more about NVIDIA: https://www.nvidia.com/en-us/Learn more about Dell Technologies: https://dell.com...

Lindsey Bengfort, Managing Director, Healthcare Provider at NTT Data, cites two key principles that healthcare institutions are concerned with today. First, put the patient outcome at the forefront, which requires empathy but also a sense of urgency. Second, do more with less, which requires the right technology and, when AI is deployed, the right models for each situation.Learn more about NTT Data: https://www.nttdata.com/global/en/industries/healthcareHealthcare IT Community: https://www.healthcareittoday.com/

Renee Wiczorek, Lead Product Manager at Truven by Merative, wants healthcare institutions to ask the deep questions about the trends they're seeing: What caused a recent cost increase? What programs are working? Which of their populations need more attention?  When you ask the right questions and have the right data, healthcare organizations can glean a lot of value.Truven's dashboards, which Wiczorek demos during this video, let managers find "clarity" in their data, and learn "not just what happened, but why." The demo is well worth viewing in full screen.Learn more about Truven Health I...

Treating healthcare AI like a standard software rollout creates a dangerous false sense of security for health system executives. Slapping human oversight onto agentic AI does not eliminate operational risk, it simply shifts massive legal and operational liability onto overburdened clinicians.In this interview from eHealth26, Julia Zarb, founder of Blue x Blue, breaks down why traditional IT playbooks fail when applied to agentic AI. She explains how small, logical micro fissures in AI outputs bypass manual checks and multiply when autonomous agents interact across an organization. Viewers will gain a practical framework for identifying governance blindspots...

Healthcare organizations are rushing to implement artificial intelligence tools without establishing basic operational safeguards. Moving too fast exposes your health system to severe compliance failures and massive security risks. In this interview, Patrick Lo, CEO of Privacy Horizon, maps out the critical framework needed to govern clinical AI before signing vendor contracts. Discover how to move past basic compliance checklists, apply clear lines of team accountability, and handle automated errors before they impact patient care. 🔔 Subscribe for more great interviews with Health IT leaders.Learn more about Privacy Horizon at https://www.privacyhorizon.com...

Health information management conferences expose a massive continental divide: US teams fight endless billing complexity while Canadian facilities struggle to capture basic clinical facts. Structural differences in healthcare funding alter the daily operational reality for professionals on each side of the border.Healthcare IT Today sits down with Jodi McMullin, CEO of ScoJo Consulting, at the eHealth26 conference to unpack how distinct funding models dictate the daily reality of clinical coding. You will discover how portfolio funding versus multi-payer commercial models impacts code volume, and why both systems face severe data accuracy challenges. Learn how clinical documentation...

Anurag Mehta, Chief Executive Officer and Cofounder at Omega Healthcare, has seen a 10-20% increase in human productivity through AI in revenue cycle management (RCM), and expects at least another 20% improvement over the next couple of years. In our recent interview, Mehta describes the current stresses in healthcare RCM and where AI can help.When you improve RCM, Mehta says, you improve profits in two ways: by handling bills more efficiently and by getting higher reimbursements by avoiding errors. Thanks to traditional techniques known as robotic process automation (RPA) and the latest AI, you can check 100% of...

Hospital leaders who view health information management strictly as a back-office coding function are making a massive operational mistake. Modern healthcare depends on accurate data to survive. Protecting that data requires active stewardship.Healthcare IT Today sat down with Mahmoud Suleiman, CEO and Registrar at CHIMA. We discussed the accelerating evolution of the HIM profession. Watch to learn why health systems must transition their teams from transactional encoders into strategic leaders who protect data quality and prevent clinical errors.🔔 Subscribe for more great interviews with Health IT leaders.Learn more about CHIMA at htt...

At the service desks that HCTec runs for health care institutions, AI is transforming the healthcare IT service desk from a reactive support function into a strategic source of operational intelligence. For example, now 100% of service calls can now be reviewed thanks to AI and that data can be put into action. In our recent interview with Dan O’Connor, Vice President of Partner Success, and Chris Durham, Vice President of Service Desk Operations, the term “game-changing” came up repeatedly to describe this data collection and the impact it can have on an organization.The new reality is tha...

The healthcare industry is finally moving past the hype of artificial intelligence and the hope of data standards. Inserting immature tech or standard into an established workflow easily backfires if the deployment fails to adapt to human behavior.Healthcare IT Today sat down with Aidan Lee and Matt Leduc, Executive Directors at OntarioMD, during the #eHealth26 conference. They share the practical steps required to deploy clinical AI safely and how to activate idle healthcare data standards. Viewers will learn why cross-functional governance and a strict focus on the clinician's daily workload dictate the success of any new...

Switching your electronic health record system is a multi-year journey that derails clinical workflows. Instead of taking on a massive migration, health systems are freezing their budgets and betting on short-term AI pilots instead. Healthcare IT Today sat down with Paul Warburton, Senior Market Research Analyst at KLAS Research, to dissect the latest US Acute Care EHR Market Share Report. We break down why large health systems logged zero major migration decisions last year and where IT budgets are actually moving. You will get a clear look at how the market share of Epic, Oracle, and MEDITECH...

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

AKASA focuses on the revenue cycle and on improving billing so that doctors are fully paid for their services. Although the company has been doing this for quite a while before generative AI became feasible, CEO and Cofounder Malinka Walaliyadde has seen that LLMs "unlock capabilities in the revenue cycle that weren't available before."In a recent interivew with Walaliyaadde, we talk about the emerging crisis in coding and billing. Walaliyadde says that the highly trained workforce is "aging out" and that providers can't find new people fast enough to replace the ones who leave. At the...

In the not-too-far future, as envisioned by Sam Schwager, Co-Founder and CEO at SuperDial, most revenue cycle management (RCM) will be handled by an AI agent at the provider that communicates with an AI agent at the payer. SuperDial is on that path, handling large numbers of billing calls with its voice agent.SuperDial entered the AI space in an unusual way. They were an RCM company themselves, focusing on behavioral health, and realized they could not grow unless they could automate the calls during which human agents would spend hours on hold and conduct "the same...

Health care organizations still have to handle thousands of patient record requests manually. In addition to individual records requested by doctors, patients, lawyers, and others, there is a constant stream of requests for hundreds of records at a time for audits and quality reviews—and a lot of them still come in by fax, telephone, or postal mail.Sherpas Healthcare Solutions is a medical record retrieval company that takes on the burden of fulfilling these requests. In a recent video interview, we had a chance to chat with Kaylan Blice-Mullins, Senior Director of Provider Relations at Sherpas He...

Fragmented Legacy Data Causes Burnout. Smart Archiving Restores Patient Safety.Keeping a dozen old EHRs alive is a massive technical debt. It is also a major patient safety risk.Healthcare IT Today sat down with Justin Campbell from RLDatix to uncover the reality of legacy data management. Campbell explains how modernizing your data archives directly reduces clinician burden. He details how applying artificial intelligence to old records and incident reports uncovers workflow breakdowns that humans naturally miss. You will learn how to turn dead data silos into active risk mitigation tools.Are your...

At many health centers, plain old telephone service (POTS) is still one of the primary forms of interaction with patients outside of office visits. In a recent interview with Tracy Causey, CEO of Capital Area Health Network, he shares how their three sites, servicing about 17,000 patients, used AI to streamline patient interactions.As an eClinicalWorks site, the health system decided to try healow Genie to handle calls. It was a simple integration, and worked "out of the box." Now healow Genie handles about 80% of all calls with no staff interaction, answering the phone within 14 seconds. The approximate 400...

In a recent video interview with Healthcare IT Today, experts from two healthcare technology companies focus on the latest happenings with healthcare AI and the IT infrastructure to support it. Harini Malik, Global Strategic Biz Dev Head for Healthcare at AMD, and Connie W. Hebert, Healthcare Chief Nursing Officer at Dell Technologies are in a position to think long-term and look at developments across a broad landscape. They bring hardware as well as software into the picture, explaining the potential in recent chip development and its relation to healthcare's utilization of AI.Learn more about AMD: https...