HIMSSCast

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.