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.

In this episode of our series on APAC countries’ EMR implementation, Franklin Vibar, CIO of Asian Hospital and Medical Center in the Philippines, talks about how the hospital guided physicians and staff through the implementation of an EMR system and achieved 95% adoption.

In the second of this three-part series we explore how Virtua Health's successful hospital-at-home program gained traction and scaled up in the post-pandemic years. The CIO of the New Jersey health system joins with its president of advanced care operations to offer their perspective.