John Glaser, EIR at Harvard Medical School, shares his best practices and other insights on driving successful digital transformation in healthcare.
Achieving Healthcare Transformation and Defining IT Value with John Glaser
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Chilcast Live: Building Responsible AI in Healthcare with John Halamka, Suchi Saria, and Jody Ranck
Regulation, innovation, and the ethical considerations of bringing AI into care delivery A couple...
A Redeterminations Disaster
The necessity of patient engagement with Carrie Kozlowski and Ed Marx In this episode of the...
AI Lessons Learned: Introducing Our Inaugural eBook on Responsible AI in Healthcare
The healthcare AI space has been rife with missteps and misunderstandings. Chilmark Research’s new eBook compiles studies, data, and lessons from the early days of this new technology.
Getting Real with Healthcare Data: What’s New in RWD/RWE with Joshua McHale, MPH
In the latest episode of the Chilcast, I sat down with Joshua McHale, the Consulting Analyst here...
Platforms, AI, Real-World Data, Engagement, and Genomics: Epic Plays this Year’s Hits at UGM23
High-level Overview After last season's hiatus, I had the pleasure of returning to the major...
Epic UGM 2023: Some News, Some Olds, and the March of Progress Continues
My second UGM (Epic’s User Group Meeting) offered a great perspective on the thousands of users on Epic coming together to share, exchange, learn, and advance their practices. Gathering around…
Revisiting the Four Fallacies of AI: Debunking AI Misconceptions Can Help Us ‘Do’ AI Better in Healthcare
The misconceptions about AI are varied, numerous, and potentially dangerous, especially when applied in healthcare. Here are four ways we commonly misunderstand its capability and its use.
From Obstructed to Empowered
Will severe information blocking penalties liberate data for patients? Final information blocking rules allow OIG to levy high severe fines for noncompliance.