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Epic's Seth Hain Shares 5 Key AI Insights Ahead of UGM 2025

July 14, 2025•Unknown•Original Link•2 minutes
AI
Healthcare
Epic

Seth Hain discusses Epic's advancements in generative AI, agent technology, and dynamic governance ahead of the 2025 Users Group Meeting.

Summer 2025 marks a pivotal moment for Epic Systems as it prepares to unveil major AI advancements at its annual Users Group Meeting (UGM). Seth Hain, a key figure at Epic, shared five critical insights on the evolving role of AI in healthcare.

1. Generative AI Moves Beyond Novelty

Generative AI has transitioned from experimentation to widespread adoption in healthcare. Over 75% of Epic’s health system customers now use generative AI, with tangible results:

  • The Christ Hospital: AI helps oncologists detect 70% of lung cancer cases at Stage I or II, surpassing national averages. Read more on Forbes.
  • Northeast Georgia Health System: 46% improvement in coding accuracy and efficiency.
  • Mercy, UNC Health, Houston Methodist: Nurses adopt 90% of AI-generated end-of-shift notes.

2. AI Agents: The EHR as a ‘Digital Colleague’

Epic’s second wave of AI focuses on agents—intelligent systems that interact with multimodal data (voice, text, genomics, etc.) to guide clinicians and patients. These agents:

  • Operate within integrated workflows.
  • Learn from local practices and user preferences.
  • Enable organization-wide actions across clinical, financial, and operational domains.

3. Epic’s Unique Advantage

Epic’s single, unified codebase—where all applications share the same patient record—provides an ideal foundation for AI agents. This design:

  • Offers a comprehensive patient view.
  • Supports efficient AI integration.
  • Will be a focal point at UGM 2025.

4. Dynamic AI Governance

With AI evolving rapidly, governance must keep pace. Epic’s solutions include:

  • Open-source AI Trust and Assurance Suite: Validates AI models across diverse populations. GitHub link.
  • Peer-reviewed research: Collaborations with Nature, NEJM, and JAMIA:
    • Nature study on AI-generated patient summaries. Read here.
    • NEJM assessment of gen AI adoption. Link.
    • JAMIA validation of AI summary evaluation tools. Details.

5. Reasons for Optimism

Hain highlights two key factors:

  1. Latent potential: Existing AI technology could be optimized for years.
  2. Rapid evolution: Continued innovation and adaptability.

Epic’s name, inspired by epic poetry, reflects the depth and insight of medical records—now amplified by AI. As healthcare enters a new era of discovery, Epic aims to lead the charge.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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