Episode
604 - Cutting Through the Hype: Healthtech Solutions and Challenges at HIMSS26
- Podcast
- Talking HealthTech
- Published
- May 6, 2026
- Duration seconds
- 2491
- Processing state
not_requested- Canonical source
- https://www.talkinghealthtech.com/podcast
Actions
POST https://stenobird.com/v1/public/podcasts/talking-healthtech-773483/episodes/604-cutting-through-the-hype-healthtech-solutions-and-challenges-at-himss26/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/talking-healthtech-773483/604-cutting-through-the-hype-healthtech-solutions-and-challenges-at-himss26.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
In this episode of Talking HealthTech, Peter Birch speaks with Tim Ferris, Vice President of Healthcare Practice for Intersystems, Dr Tom Kelly, CEO and co-founder of Heidi Health, and Hal Wolf, President and CEO of HIMSS, about the evolving role of technology, particularly artificial intelligence, in addressing challenges in healthcare delivery, data integration, and system efficiency. The conversation explores how real-world pressures such as workforce strain, rising demand, and fragmented systems are shaping the way technology is adopted across healthcare. It looks closely at what makes digital tools succeed in practice, from easing clinical workflows to improving access to meaningful data, and why many past solutions have struggled to deliver on their promise. The episode also dives into the growing impact of AI in clinical settings, including its role in reducing administrative burden and supporting better decision-making. Alongside this, it examines the importance of trust, patient expectations, and the need for systems that are not only innovative but practical, reliable, and built to support care where it matters most. This episode was recorded during HIMSS 2026 in Las Vegas and features conversations Talking HealthTech had on the expo floor with industry leaders and innovators. Key Takeaways 🧑⚕️ Technology’s evolving role: AI and large language models are poised to transform healthcare delivery by addressing supply and demand imbalances and supporting frontline clinicians. 🔑 Practical implementation challenges: Real-world adoption depends on solving specific clinical problems, ensuring seamless data aggregation, and focusing on user-friendly tools. 💸 Funding and adoption incentives: Different healthcare systems (such as the NHS vs the US) adapt AI and technol…