
Hosted by HIMSS Media · EN
HIMSSCast is a podcast produced by the HIMSS Media editorial team behind Healthcare IT News, MobiHealthNews, and Healthcare Finance News. In each episode, our editors are joined by special guests from around the health tech industry to discuss major news stories or trends in the space. The aim of the show is to add depth, analysis and color to our ongoing coverage of the digital health, health tech and healthcare finance realms, as well as to facilitate lively conversations about hot health tech topics.

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 speak with Michelle Mello, professor of health policy at Stanford School of Medicine, about those questions and others.

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.