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At its recent annual meeting, Epic shed light on new customers and AI initiatives but left many industry insiders wondering about its future plans.
Epic’s annual meeting is always a mix of announcements and behind-the-scenes glimpses into the world of health tech. This year was no different, with a focus on AI and Big Tech. However, the event also raised more questions than it answered. Here’s what happened and why it matters to practitioners and researchers in the field.
Before and after intermission, Epic staffers announced a list of new customers, highlighting which electronic health record (EHR) systems these health systems had switched from. These announcements were punctuated by snippets of songs that matched the names or locations of the health systems-like Louis Armstrong’s “Hello Dolly” for the Dolly Parton Children’s Hospital.
The meeting delved into the role of AI in healthcare, with discussions on how Epic is integrating AI tools to improve patient care and operational efficiency. Key points included:
AI Integration: Epic emphasized its commitment to incorporating AI-driven solutions in its EHR platform. This includes:
Partnerships: Epic mentioned collaborations with leading AI companies like Anthropic and OpenAI. These partnerships aim to:

Despite the focus on AI, many industry insiders left the meeting with lingering questions. Here are some key areas where clarity was lacking:
Specific Use Cases: Epic did not provide detailed examples of how its AI tools are being used in real-world scenarios.
Data Security and Privacy: Given the sensitive nature of medical data, there was little discussion on how Epic is ensuring data security and patient privacy in its AI initiatives.
While Epic’s annual meeting provided some insights into its future direction, it also highlighted the need for more detailed information on how these AI initiatives will be rolled out and their potential impact on patient care. As the healthcare industry continues to embrace AI, transparency and clear communication from key players like Epic will be crucial.
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What Epic did — and didn’t — say about AI at its annual meeting
↗ https://www.statnews.com/2026/08/19/ai-prognosis-what-epic-did-and-didnt-say-about-ai-at-its-annual-meeting
About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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