HIMSSCast

The borders between countries aren’t the only ones that healthcare data needs to travel across. The same principles behind the European Health Data Space can be applied to supporting people’s physical and mental health in their everyday lives: at school, at work, in community spaces, and in sports clubs. In Episode 5, the final part of “HIMSSCast Presents: Healthcare Without Borders,” HIMSS’ Tom Leary and Health Connect Partners’ Dr. Petra Wilson ask important questions about how data and AI-powered tools can help European citizens actively engage in their health and wellness journeys.

The AI boom is redefining the traditional technology role to one of organizational strategist and leader, says Dr. Deepti Pandita, CMIO and chief AI officer at UCI Health.

Regulatory frameworks create a solid foundation, but cross-border healthcare can’t succeed without trust. Patients need to trust that their data is being used responsibly, that their provider is properly qualified, and that any AI tools used are free from bias and error. Join HIMSS’ Tom Leary and Health Connect Partners’ Dr. Petra Wilson in Episode 4 of “HIMSSCast Presents: Healthcare Without Borders” to learn more about the four layers of trust — patients, providers, systems and AI algorithms — and how each can be addressed to ensure confidence in cross-border care experiences.

Wisp's CEO discusses how the women's digital health company has grown significantly and is profitable with only a small amount of investor capital.

The European Health Data Space aims to enable health data to move seamlessly and securely across Europe. However, the processes required to achieve this are complex, involving cultural, linguistic, diagnostic, regulatory, and coding elements. HIMSS’ Tom Leary and Health Connect Partners’ Dr. Petra Wilson explore what it will take to achieve true pan-European interoperability that goes beyond the floor of legal requirements, in Episode 3 of “HIMSSCast Presents: Healthcare Without Borders.”

AI is a force multiplier, not a magic wand; health systems can’t turn AI tools into measurable ROI if their data remains siloed. Success with AI depends less on creating content and data and more on distilling that information into insights that produce better decisions. In this podcast, Health Catalyst’s Robbie Hughes discusses how leaders can move beyond individual building block tools towards integrated solutions that combine generative AI with statistical models.

This discussion with Tim Lawless, global health lead at Publicis Sapient, explores the benefits AI brings to patient access and addresses the potential fallout as provider usage in care delivery increases.

Cross-border healthcare raises distinct regulatory challenges. Among them are: aligning reimbursement and eligibility rules, verifying professional credentials, managing liability, and ensuring continuity of care. In Episode 2 of “HIMSSCast Presents: Healthcare Without Borders,” HIMSS’ Tom Leary and Health Connect Partners’ Dr. Petra Wilson talk about Europe’s 30-year journey to enabling cross-border care and how the European Health Data Space aims to align EU member states around a single European Electronic Health Record Exchange Format.

How Northwell derives ROI from applying artificial intelligence that fits the system.

Formal cross-border care in Europe accounts for less than 1% of health spending, but that number doesn’t tell the whole story. For some 150 million European patients living near internal borders, the nearest care, the shortest wait, or the best specialist for their situation, may be in another country. Join HIMSS’ Tom Leary and Health Connect Partners’ Dr. Petra Wilson for Episode 1 of “HIMSSCast Presents: Healthcare Without Borders” as they discuss how AI and virtual care are accelerating healthcare’s shift from a location-bound to a borderless activity.

Beyond issues relating to HIPAA, many questions about rules around consent, storage and archiving and many state and federal laws need to be considered, says Jennifer Geetter, partner at McDermott Will & Schulte..

Healthcare transformation increasingly depends on solving deployment challenges, not just inventing new technology. The Mayo Clinic-ASU Health Care Accelerator offers clinical validation, expert mentorship and commercialization support to help startups translate innovations into clinical realities. In this podcast, Dr. Steven J. Lester, founder and CMO of the Health Care Accelerator, and Alex Flores, General Manager, Health and Life Sciences Vertical at Intel, discuss how the Accelerator can position startups to succeed in a complex healthcare ecosystem.

Healthcare’s long-standing silos — finance, clinical, and consumer — present a barrier to progress. Discover how partnering with the right vendor can help health systems break down these silos, turn their vast data reserves into actionable insights, and leverage AI to maintain care access and quality while creating sustainable revenue streams in a fiercely competitive market.

Medicaid may be the most underappreciated health IT innovation platform in the country, says Dr. Christopher R. Cogle, director, Florida health policy leadership academy, at the University of Florida. Here's what providers can learn.

Behavioral health technology and analytics company discusses mental healthcare access and the need for caution when using ChatGPT for care

The world's seventh largest healthcare company based on revenue shares how it validates AI models as safe for approvals and denials.

AI is continuously being used within healthcare with the aim of easing workforce burnout, but providers must be cautious on which AI to implement

Self-pay is an issue even for patients with insurance, says Seth Cohen, president of Cedar.

The Nursing and Artificial Intelligence Innovation Consortium, a national coalition, is working to guide responsible AI use. Reengineering workflows with AI should be led by nurses who use them, says Jing Wang, dean of FSU College of Nursing.

In today’s healthcare system, even patients with good insurance and strong support systems struggle to schedule appointments and get treatment approvals, while health systems face staffing shortages and operational drag. Digital Medicine Society CEO Jennifer Goldsack and Alex Flores, General Manager, Health and Life Sciences Vertical at Intel, talk about how scalable, trustworthy AI can reduce friction for patients, relieve clinicians’ burden, and improve care outcomes.

Ashkan Afkhami of Boston Consulting Group discusses how AI agents and tech will transform healthcare, including how agentic AI will reshape the sector's workforce.

The independent health system's new technology can help physicians get better views of diagnostic images while saving time on the scanning end. The CIO explains these and other benefits.

Data integration was an integral part of the first CTO of the U.S.'s work under President Obama, and as AI has evolved, so have the changing administrations' priorities.

Providers can integrate medication adherence and positive behavior change strategies into patient care plans, says Dr. Amy Bucher, chief behavioral scientist at Lirio.

Low reimbursement, high utilization, star ratings and risk adjustment have formed a perfect storm.

Ambulatory leaders may believe care access problems are solved because their utilization metrics are high. However, these numbers may be hiding demand mismatches at the patient, provider, and clinic level. Discover how examining patient mix, no-shows, and late cancellations can help boost access to care and stop revenue leakage.

Technology is helping them from falling below the new 90% submission threshold, says Sandy Griffiths, senior product manager for Homecare Homebase.

In this view from the frontline, Tom Gillette, CIO, and Erich Glasbrenner, VP and chief nursing informatics officer, at Mount Sinai Medical Center, Miami Beach, discuss how patient access and experiences will continue to transform in the year ahead.

"It's a positive moment," says Kyle Zebley, CEO of ATA and executive director of ATA Action, in a conversation about policy and healthcare advances. The organization plans to focus on its role as a catalyst for change at the state and federal levels.

Moving more than 19,000 patient cardiac devices across 15 locations to a cloud-based management platform was a big lift that improved clinical administration and patient care, says Amy Tucker of Advocate Health's Sanger Heart & Vascular Institute.

UnityAI discusses use cases for AI agents in healthcare and the challenges the company has faced training the AI models.

Impiricus works with over 30 pharma companies.

Using health data to rapidly identify clinical trial participants wherever they are broadens the reach of leading-edge oncology care and frees up nurses' time for patient care, says Dr. Aaron Gerds at the Cleveland Clinic’s Cancer Institute.

A growing number of veterans are seeking care outside traditional VA facilities.

We speak with Doug Meil, software engineer, analytics expert and author of the recent book, The Rise and Fall of Explorys and IBM Watson Health: A Personal Memoir of a Healthcare Moonshot that Misfired.

Communication breakdowns such as missed calls, long hold times and voicemail tag cause frustration for patients and revenue and productivity loss for practices. Learn how AI and automation can ensure that every patient’s phone call is answered, simplify appointment scheduling and keep clinicians focused on care rather than on administrative tasks.

OpenAI's Sam Altman says individuals should use GPT-5 to help them with their healthcare journey. Dr. Doug Fridsma, former ONC chief science officer and current CMIO at Health Universe, says there are things to consider when using the tech.

Healthcare leaders can’t afford to build their incident response plans in the middle of a crisis. Discover how disciplined, ongoing practice leveraging tabletop drills and vendor partnerships can help build true cyber confidence and a culture of security.

AI is powering a broader care expansion, including a new ED and cancer center.

How cities, such as Baltimore, can impact healthcare

As healthcare organizations race to adopt AI, many overlook the groundwork needed to scale solutions across departments and sites. This podcast offers insights from Hyland’s Lyle McMillin into how CIOs can assess and improve their organizations’ AI readiness.

Nursing leaders have access to more data than ever, but the challenge lies in using it meaningfully. Join us for this second episode of “Data Literacy for Nurse Leaders,” where Dr. Michelle Hamland and Meagan Mangus from the HIMSS Nursing Informatics Committee discuss how nurse leaders can turn data into action with the HIMSS Data Literacy for Nurse Leaders Toolkit.

As many healthcare organizations seek to optimize revenue cycle management, Ensemble offers a reasoning-driven agentic AI approach that can speed up appeals, reduce denials and recover lost revenue. Learn how Ensemble connects clinical data, financial data and human insight to solve revenue cycle problems in real time.

The St. Louis community health center extended the reach of multilanguage accessibility to its six FQHCs with large refugee and immigrant populations. Two Affinia execs discuss results of a generative AI pilot designed to enhance translation services.

In today’s data-rich but siloed healthcare environment, true AI transformation demands structure, not just algorithms. By building strong governance foundations, pharma and life sciences leaders can turn fragmented data into federated ecosystems that support innovation. Learn how safe, compliant AI implementation can transform research, development and patient outcomes.

Kim Dalla Torre, the new global health leader at EY, offers fresh perspectives on critical health IT subjects including AI, tech modernization, telehealth, closing health disparities and cybersecurity.

The future of AI in healthcare isn’t just about speed or automation; it’s about trust. Discover how Nabla deploys models that are reviewed by medical professionals to ensure that the AI doesn’t fabricate or misinterpret clinical facts, as well as how it is helping define standards for transparent, trustworthy clinical AI.

For the third episode of this series, Virtua Health CIO and its president of advanced care operations describe how lessons learned from hospital-at-home are now influencing process and strategy at its brick-and-mortar hospitals, such as throughput and capacity innovations with its Enterprise Care Logistics Center.

Responsible AI adoption is as much about governance and evaluation as technology. Lightweight, context-specific frameworks make it possible for even resource-limited health systems to implement AI safely. Discover how generative AI, paired with real-world evidence, can help fill gaps in traditional research, increase health equity and help clinicians make more informed decisions.

Connected, actionable data is the backbone of intelligent automation, and successful AI adoption hinges on strong workflows, accurate data pipelines and early wins that build user trust. Learn how aligning interoperability requirements with enterprise strategy can help healthcare organizations drive efficiency and gain a competitive edge.