AI & Data Analytics

In the latest video from the Chief Healthcare Executive Roundtable, our panel talks about the need to be open with patients about the use of AI.

Right now, most AI implementations are focused on optimizing the existing system. They are making current workflows faster and more scalable, but they are not yet changing how care is delivered.

Health systems need to have clear goals for pilot programs to succeed. Some also argue against pilot programs at all.

Our panel of leaders talks about AI’s impact on patient experience, improving care and accelerating research.

Our panel of healthcare leaders outline the areas where AI is paying dividends, even as they acknowledge the need for caution.

IBM's annual report shows healthcare breaches are the most expensive. Limor Kessem of IBM discusses the threats to healthcare organizations, the rising role of AI, and the progress some organizations are making.

Our panel of healthcare leaders say retention remains a problem and too many clinicians are experiencing burnout. AI is seen as a tool to help, but some workers are worried it will cost them their jobs.

In the latest video from the Chief Healthcare Executive Roundtable, the panel discusses the difficulty in holding onto top talent, keeping workers healthy, and opportunities and challenges with AI.

The Florida health system has partnered with Reimagine Care to connect with patients and hopefully curb unnecessary emergency department visits and admissions.

Dr. David Battinelli, dean of the Zucker School of Medicine and Northwell Health’s physician-in-chief, talks about rethinking medical education, engaging students, and AI.

Baxter Lee, president of Clearwater, talks about cyberattacks in healthcare, how attackers are using AI, and risks from third parties. He spoke with us in the latest episode of Data Book, a podcast from Chief Healthcare Executive.

The Ralph H. Johnson VA Health System earned the American Hospital Association’s Quest for Quality Prize. Scott Isaacks, the system’s CEO, talked with us about innovating to serve veterans.

We held a panel discussion featuring some of the nation’s top healthcare leaders to talk about the pressing issues in the industry and how they are tackling them.

In the second video from our roundtable, the panel discusses delivering more care outside of the hospital, the emerging opportunities for AI, and the need for thoughtful strategies.

In the third video in our series, our panel talks about the need to lower the cost of care for patients, and growing pressures on their operating margins.

The West Virginia University Health System is seeing encouraging results. Dr. David Rich of WVU talks about the results and shares insights for other systems.

The organization’s AgeTech Collaborative works to boost startups and is also partnering with the HLTH conference. AARP’s Andy Miller talks with us about the growing longevity economy.

Mitchell Kentor of Endeavor Health shares some lessons from its physician-led governance model and human-in-the-lead automation program.

Eric Steinberger of Atlantic Health talks about using data, connecting with patients, and envisioning marketing as an engine for growth.

Crystal Broj of the Medical University of South Carolina system talks about making it easier for patients to access the system and reducing headaches for doctors and staff.

The Healthcare Financial Management Association’s annual conference offered a window on an industry facing rapid challenges and changes.

In an interview at the HFMA conference, Kevin Holloran of Fitch Ratings talked about planning for Medicaid cuts, opportunities with AI, and why it’s not a time to be cautious.

He spoke with Chief Healthcare Executive at the Healthcare Financial Management Association about challenges with reimbursements and potential with the use of AI.

Mehmet Oz, administrator of the Centers for Medicare & Medicaid Services, outlined top priorities during an appearance at the Healthcare Financial Management Association conference.

For both clinicians and attorneys the lesson is quite clear: whatever the AI model, verification of output together with your own medical and legal judgment remains important.