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Epic Systems
AI across the EHR used by most major US health systems, with regulatory requirements that differ from any other sector.
In short
AI capabilities across Epic's electronic health record, including clinical decision support, ambient documentation (ambient listening that drafts clinical notes), and analytics via SlicerDicer and a range of prediction models. Used by over 350 million patient records' worth of institutions.
Built for: Compliance/Audit Professionals · Enterprise Operations
| Tier | Model | Key inclusions | Limits |
|---|---|---|---|
| Bundled with Epic | Within Epic contract, some AI features additional | Base AI features; ambient documentation is priced separately | Contract-based |
Pricing, version numbers, context-window sizes, and compliance certifications change frequently. Where stated they are accurate as of the as_of date and should be confirmed with the vendor before any procurement or compliance decision. Where they could not be stated confidently they are omitted rather than guessed.
The governance question this raises
Healthcare AI operates under a regulatory framework that is categorically different from general enterprise AI: FDA oversight of Software as a Medical Device applies to clinical AI tools that are decision-support for diagnosis or treatment, HIPAA governs all patient data handling, and validation on the deployment population is both a regulatory expectation and a patient safety requirement. The EU AI Act classifies AI used in clinical contexts as high-risk. Before any Epic AI feature is enabled in a clinical setting, the governance question is whether the feature constitutes a SaMD and whether the appropriate validation has been performed. See the healthcare pages in the reference library.
No compliance certifications are listed here. Certification status is vendor-specific and time-specific, so it is stated only where verified rather than assumed. Check the vendor’s trust centre and confirm it covers the specific tier you are buying.
API and SDKs: Epic FHIR API for external integration; AI features are embedded in the EHR workflow.
Strengths
Drawbacks
Consider instead: Microsoft Copilot, Nuance DAX (ambient documentation), Google Med-PaLM / MedLM
AI capabilities across Epic's electronic health record, including clinical decision support, ambient documentation (ambient listening that drafts clinical notes), and analytics via SlicerDicer and a range of prediction models. Used by over 350 million patient records' worth of institutions.
Epic's own models and Microsoft Azure AI Services, under Epic's development and validation processes.
Epic's health data terms apply and are structured around HIPAA requirements. Data stays within the health system's Epic environment.
The closest comparable tools are Microsoft Copilot, Nuance DAX (ambient documentation), Google Med-PaLM / MedLM. Which fits depends on where the work already lives and what the organization's data terms require.
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