Epic AI Tutorial: Get Started in 5 Minutes [2026]

What it does:

Epic's AI Charting reduces time spent on clinical documentation, administrative tasks, and chart navigation. It generates draft progress notes from encounter data, suggests relevant chart sections, and automates repetitive documentation patterns. Clinicians review and approve AI-generated content, retaining full control while saving significant time per encounter. This feature directly targets the documentation burden widely cited as a leading contributor to physician burnout.

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What it does:

Announced at HIMSS25, Epic's agentic AI deploys autonomous agents that handle multi-step administrative tasks before a patient visit occurs. These agents can verify insurance, gather relevant medical history, prepare visit agendas, and coordinate across departments. The goal is to ensure that by the time a clinician enters the exam room, the administrative groundwork is already complete, making the visit more focused and productive for both parties.

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What it does:

Epic's generative AI pipeline integrates large language models like GPT-4 into the EHR while maintaining strict HIPAA compliance. The pipeline handles patient data routing, de-identification where required, and secure model inference. This infrastructure enables features like AI-drafted patient message responses, note summarization, and coding assistance without exposing protected health information to unauthorized systems or violating regulatory requirements.

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What it does:

Epic released an open-source framework that enables health systems to validate AI models before clinical deployment. The tool supports evaluation of both Epic-built and third-party AI models that integrate with EHR systems. It allows organizations to apply emerging AI best practices and safety standards to their validation workflows, providing a structured approach to assessing model accuracy, bias, and reliability in clinical contexts.

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