HIMSSCast

How should health systems approach assessment of AI-enabled clinical decision support, and other models used in clinical practice? Are standardized evaluations enough?

L.R. Fox, founder and executive chairman of NEXT Life Sciences, discusses the company’s male contraceptives Plan A and PausePill and its path toward bringing them to market.

Clinicians are accepting AI in their daily workflows, but many are struggling to keep up with rapid change. Join our HIMSS hosts as they talk to Orlando Health Associate CMIO Dr. Doug McKee about what’s really happening on the front lines with healthcare AI, including its current state (governance, just-in-time training, liability) and future state (vendor partnership, scalability, ROI). 

CFOs need to get creative in their use of AI within the revenue cycle, says AKASA VP of Clinical Strategy

Founder/CEO Eric Langshur explains how health systems are rethinking traditional venture and commercialization structures. 

Healthcare has accumulated enormous amounts of data, but understanding and analyzing it remains beyond busy clinicians’ capabilities. Technologies like telehealth, wearables, and AI will enable clinicians to spot risk factors earlier and create more personalized, preventive plans that keep people healthier for longer. In the third episode of  our "Future of Virtual Care "  podcast series, hear digital healthcare humanist Philippe Gerwill talk about how virtual care can evolve to a core driver of longevity. 

Advocate Health's nursing informatics leaders discuss how using artificial intelligence technologies in frontline care requires a hands-on, collaborative shift in training that is worth making. 

Lily Liu, divisional director at Western Health, explains why specialised clinical tools demand stricter safety standards, deeper workflow integration, and cross-functional leadership than entry-level AI.

PeriGen's fetal monitoring analysis helps clinicians detect potential complications earlier during labor.

Health systems are under enormous pressure from rising labor costs, workforce shortages, and administrative complexity. However, many of them can realize significant growth by converting existing demand into completed care. In this episode, Assort Health’s Vice President of Health Systems, Imaad Rashied, discusses how AI can automate meaningful portions of operational work to close care gaps and take the burden of care coordination away from patients and staff. 

Chi Mei Medical Center Stroke Center director Dr Hsieh Meng-Tsang says clinical AI should not just flag problems but also suggest meaningful actions.

AI can help clinicians identify patients at risk of sepsis earlier by analyzing patient data and supporting faster, more informed treatment decisions, says Dr. Bobby Reddy Jr., cofounder and CEO of Prenosis.

Redesign Health's Aron Szanto discusses Argus, an AI-powered code review system designed to identify bugs and inconsistencies in AI-generated code.

Oncology is becoming increasingly data-intensive, bringing together imaging, pathology, genomics, clinical history, and patient-generated data. AI presents an opportunity to connect these information sources and surface meaningful insights without adding burden for clinicians. Hear from experts at the intersection of healthcare, AI, and software platforms on what it takes to operationalize these systems in complex care environments. 

Innovation in healthcare isn’t limited to labs, startups, or research institutions. In the second episode of our “Future of Virtual Care” podcast series, Professor Pedro Oliveira, Dean of Nova School of Business and Economics and founder of Patient Innovation, discusses how patients and caregivers are creating solutions for chronic conditions when existing care falls short. Their persistence can turn personal problem-solving into solutions that benefit thousands of others. 

Hospitals are now in joint ventures with physicians groups for ASCs, something unthinkable 20 years ago, says Erik Tellefson, senior managing director, head of Healthcare Real Estate Lending at Capital One.

Rule could substantially reduce Medicaid payments to hospitals, health systems, nursing homes and other Medicaid managed facilities.

Merage Ghane, the director of responsible AI at CHAI, explains how a microcredentialing program for nurses developed with FSU can equip frontline providers with AI expertise that bolsters their careers.

Professor Aurel Qian explains why clinician incentives, practical training and human oversight matter as health systems scale AI.

A slew of state and federal bills are in flux that target certain transactions.

As healthcare organizations increasingly embrace AI, including AI agents, “shadow AI,” or the use of unauthorized tools by clinicians and staff, poses a rising threat to cybersecurity and compliance. Join Jaimin Patel, identity strategist at SailPoint, as he discusses how an identity security approach can help organizations identify unmanaged AI agents and other risks, assign agent ownership, and protect data by enforcing access policies. 

CIO Dr. Lee Ho-Young discusses sustainable AI investment, change management, and preparations for emerging risks

uPerform discusses role-based training, in-application guidance and just-in-time learning to assist healthcare organizations in improving adoption of EHRs and other enterprise software

Most health systems aren't asking whether to modernize patient monitoring; they're asking whether the upgrade in front of them is worth it. In this episode, two Intel Healthcare and Life Sciences engineers make the case that the real decision isn't about simply adding AI to a monitor; it's about whether your monitoring infrastructure is built for an AI-native, distributed care model — or whether it's locking you into a siloed architecture that limits your options as care delivery evolves. 

How an AI platform helped a 94-year-old healthcare practice lower no-show rates and reduce cost.

In response to the COVID-19 pandemic, healthcare organizations accelerated investments in EHRs, interoperability, and digital health infrastructure. These investments laid the foundation for a more connected healthcare ecosystem where data flows freely, patients can access care more easily with virtual visits, and remote patient monitoring enables earlier intervention and better care management. In the first episode of our “Future of Virtual Care” podcast series, join HIMSS President and CEO Hal Wolf as he discusses how the future of healthcare is expanding beyond the classic brick and mortar model. 

The minister of health shares what challenges the Isle of Man's health system faces and the innovations being adopted to enhance the sector.

Agentic AI represents the shift from point solutions to interconnection across the front-, middle- and back-end of the revenue cycle.

Vivek Rajagopal of Narayana Health explains why most AI projects stall – and what it really takes to make them work in clinical workflows.

Financial pressure is no longer cyclical as the majority of healthcare organizations report consistently low margins 

Using full-body composition scans that measure fat, muscle and bone density to support health longevity efforts.

As health plans expand their use of artificial intelligence for utilization review, hospitals and health systems are adopting AI tools of their own – for documentation, coding automation, denial prediction and more – in an effort to level the playing field. But in an era of aspiration toward value-based reimbursement and of consumer-focused price transparency efforts, could this arms race be cooled for the good of all? Instead of a battle with leading-edge technologies on both sides, can payers and providers find common ground and instead use AI for the greater good – even, just maybe, for their patients and plan members? We spe...

The Bureau is asking health systems to share threat intelligence and indicators of compromise to help prevent attacks. But doing so the wrong way could run afoul of HIPAA or state privacy laws.

This upbeat roundtable discussion centers on issues central to working in health IT and where technology is taking healthcare delivery.

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.