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Healthcare
E

Epic AI

AI capabilities integrated throughout Epic's healthcare software platform, featuring AI charting, generative AI for EHR, and agentic AI to reduce documentation time and improve patient care workflows.

Starting atCustom enterprise pricing
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Overview

Epic AI refers to the suite of artificial intelligence capabilities embedded throughout Epic Systems' electronic health record (EHR) platform, the most widely deployed hospital software system in the United States. Rather than offering AI as a standalone product, Epic integrates AI directly into clinical, operational, and patient-facing workflows within its existing EHR infrastructure. The platform leverages large language models, including GPT-4, through a HIPAA-compliant pipeline to power features such as AI-assisted clinical documentation, automated patient message drafting, handoff summary generation, and medical coding assistance.

Epic's AI Charting feature is designed to reduce the documentation burden on clinicians by automating progress notes and chart navigation tasks, addressing one of the most persistent complaints in modern healthcare: physician burnout driven by administrative workload. The system also incorporates ambient AI capabilities that can passively capture clinical encounters and convert them into structured documentation.

At HIMSS25, Epic announced its expansion into agentic AI, where autonomous AI agents handle pre-visit preparation tasks, insurance-related workflows, and other administrative steps to make clinical encounters more productive for both patients and clinicians. The company has also released an open-source AI validation tool that allows health systems to evaluate AI models—whether built by Epic or third parties—before deploying them in clinical settings.

Epic's generative AI features span the full patient journey: patients receive personalized, AI-drafted responses to portal messages; clinicians get AI-generated note drafts and decision support; and operations teams benefit from AI-driven scheduling, coding, and resource optimization. The platform draws on Epic's Cosmos dataset, one of the largest clinical datasets in the world, encompassing records from over 280 million patients across Epic's customer base.

Because Epic AI is embedded within the Epic EHR ecosystem, it is only available to organizations that are existing Epic customers. Deployment, configuration, and pricing are handled through Epic's enterprise sales process, and organizations typically work with their assigned Epic representatives (referred to as 'BFFs' in Epic's terminology) to enable and customize AI features.

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Key Features

AI Charting+

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.

Agentic AI for Pre-Visit Workflows+

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.

HIPAA-Compliant Generative AI Pipeline+

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.

Open-Source AI Validation Tool+

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.

Pricing Plans

Epic EHR Base + AI Modules

Custom enterprise pricing

  • ✓AI Charting for automated clinical documentation
  • ✓Generative AI-drafted patient portal responses
  • ✓Clinical handoff summary generation
  • ✓AI-assisted medical coding
  • ✓HIPAA-compliant LLM pipeline
  • ✓Access to Cosmos dataset for AI model training

Agentic AI & Advanced Capabilities

Add-on (pricing not disclosed)

  • ✓Agentic AI for autonomous pre-visit preparation
  • ✓Ambient AI for passive encounter capture
  • ✓Advanced workflow automation agents
  • ✓Insurance verification and administrative task agents
See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

🎯

Large hospital systems and academic medical centers on the Epic platform seeking to reduce clinician documentation burden through AI-assisted charting and ambient note generation

⚡

Health system operations teams looking to automate medical coding, claims processing, and administrative workflows at scale within their existing Epic infrastructure

🔧

Patient engagement and communication teams wanting AI-drafted responses to patient portal messages that maintain empathy and clinical accuracy

🚀

Clinical leadership evaluating AI model safety and performance using Epic's open-source validation framework before deploying models in production

💡

Health systems preparing for value-based care transitions that need AI-driven pre-visit planning and agentic workflow automation to maximize clinician-patient interaction time

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Epic AI doesn't handle well:

  • ⚠Completely locked to the Epic ecosystem—no standalone deployment, no API access for non-Epic environments, and no interoperability with competing EHR platforms
  • ⚠AI-generated clinical content (notes, responses, summaries) requires clinician review and approval before use, meaning time savings are partial rather than fully automated
  • ⚠Availability of specific AI features depends on Epic version, module licensing, and organizational configuration—not all features are universally accessible to all Epic customers
  • ⚠Limited transparency around AI model performance metrics, error rates, and bias assessments for individual features, despite the availability of the open-source validation tool

Pros & Cons

✓ Pros

  • ✓Deeply integrated into the Epic EHR workflow, eliminating the need for separate AI tools or context switching during clinical encounters
  • ✓HIPAA-compliant AI pipeline with enterprise-grade security and privacy controls built for healthcare-specific regulatory requirements
  • ✓Access to Cosmos, one of the largest de-identified clinical datasets globally, enabling AI models trained on real-world healthcare data at massive scale
  • ✓Open-source AI validation framework allows health systems to independently verify and benchmark AI model performance before clinical deployment
  • ✓Broad scope of AI applications spanning clinical documentation, patient communication, medical coding, operational workflows, and agentic pre-visit automation
  • ✓Backed by Epic's installed base covering over 50% of U.S. hospital beds, ensuring rapid iteration informed by diverse real-world usage

✗ Cons

  • ✗Only available to existing Epic customers—organizations on competing EHR platforms like Cerner (Oracle Health) or MEDITECH cannot use Epic AI independently
  • ✗Pricing is opaque and negotiated per enterprise contract with no published rate cards; total EHR platform costs typically range from $50M–$500M+ depending on system size, making cost comparison or budgeting difficult without direct engagement with Epic sales
  • ✗Heavy dependency on Epic's proprietary ecosystem creates vendor lock-in; AI features cannot be decoupled or used with other EHR systems
  • ✗Implementation and customization require coordination with Epic representatives, which can be slow and resource-intensive for health systems
  • ✗Clinician trust and adoption varies—AI-generated notes and responses still require human review, and some providers report alert fatigue or skepticism toward AI outputs

Frequently Asked Questions

Is Epic AI a standalone product I can purchase separately?+

No. Epic AI is a set of capabilities embedded within the Epic EHR platform. It is only available to healthcare organizations that are existing Epic customers. You cannot purchase or deploy Epic AI independently of the broader Epic software suite.

What large language models does Epic AI use?+

Epic has integrated GPT-4 through a HIPAA-compliant pipeline and has worked with Microsoft on AI capabilities. Epic has also developed its own models and supports validation of third-party AI models through its open-source validation tool. The specific models available may vary by feature and are subject to change as the technology evolves.

Is Epic AI HIPAA compliant?+

Yes. Epic routes AI interactions through a HIPAA-compliant pipeline designed to protect patient health information. Data handling follows Epic's existing enterprise security and compliance framework, which is already deployed across major health systems in the U.S. and internationally.

What is Epic's agentic AI?+

Announced at HIMSS25, Epic's agentic AI refers to autonomous AI agents that can perform multi-step administrative tasks such as pre-visit preparation, insurance verification, and workflow coordination. These agents aim to handle work leading up to clinical visits so that the visit itself is more productive for both patients and clinicians.

Can Epic AI work with non-Epic EHR systems?+

No. Epic AI is tightly integrated into the Epic EHR platform and does not function as a standalone or interoperable AI service. Health systems using other EHR vendors would need to look at competing solutions or third-party clinical AI tools.

How much does Epic AI cost?+

Epic does not publish pricing for its AI features separately. AI capabilities are bundled into or added to existing Epic EHR contracts, which are negotiated on a per-organization basis. Total Epic EHR platform costs typically range from $50M for smaller community hospitals to $500M+ for large multi-hospital academic health systems, covering implementation, licensing, and multi-year maintenance. AI module costs are incremental to these contracts. Health systems should contact their Epic representative for a tailored quote based on bed count, modules, and deployment scope.
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Quick Info

Category

Healthcare

Website

www.epic.com/software/ai/
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