Insights AI News Epic EHR AI workflow automation: How to save clinician hours
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24 Aug 2026

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Epic EHR AI workflow automation: How to save clinician hours

Epic EHR AI workflow automation streamlines charting and prior authorization to save clinicians hours.

Epic EHR AI workflow automation is turning clinic time back to patients. Epic’s Art and Emmie prep charts, draft notes, and answer common questions. Agent Factory builds task bots. Real-time prior authorization and image exchange cut delays. Early users report thousands of hours saved and fewer inbox messages. Epic is moving fast to bake AI into everyday clinical work. At its 2026 Users Group Meeting, the company showed how a connected set of tools—Art for clinicians, Emmie for patients, Penny for revenue cycle, and Agent Factory for task automation—can reduce clicks, speed up decisions, and free up staff time. The approach leans on data already in the EHR and across networks like Care Everywhere and Cosmos.

Epic EHR AI workflow automation, explained

Before the visit: better prep, fewer surprises

Art creates quick, focused summaries from the chart so providers can see key issues fast. Emmie chats with patients in MyChart before the visit to collect updates and questions. Epic says most users who see summaries that include outside records spot new information they might have missed. With Epic EHR AI workflow automation, teams start each visit aligned on what matters.

During the visit: charting without the drag

Chart with Art listens to the conversation, drafts the note, and stages orders or documentation for review. Clinicians can now talk to Art by voice. Early use spans more than 70 specialties, and some hospitals run it for bedside nursing notes. The goal is simple: finish the visit with a complete, accurate note and fewer after-hours clicks.

After the visit: lighter inbox, clearer next steps

Ask Emmie answers patient questions using the medical record for context. One health system reported saving over 1,000 call center hours in 10 months. Another saw 73% fewer billing-related messages. Penny supports revenue teams by handling routine tasks so staff can spend time on complex cases.

What’s new and why it matters

Agent Factory: build and run task bots

Agent Factory lets health systems create, tune, and monitor AI agents that act across workflows—without writing code. One early user built an agent to summarize transfer center requests, saving about 20 hours a week and improving handoffs. Epic offers more than 100 agent features to start, then allows local “shaping” for site needs.

Cosmos and Curiosity: predictions at the point of care

Epic’s Cosmos network aggregates de-identified data from hundreds of health systems. Curiosity, a new model trained on this data, aims to forecast outcomes like readmission or stroke risk. Twenty organizations are validating it, with broader EHR integration planned in 2027. Clinicians can also compare “look‑alike” patients and view what treatments worked best across millions of cases.

Interoperability: fewer faxes, faster answers

– Real-time prior authorization: Embedded checks in the EHR use a standard API to show requirements instantly. Four systems are live with more payers in testing. – Image exchange: Providers can fetch diagnostic-quality images (CT, X-ray, MRI) with a click across Care Everywhere, helping avoid duplicate scans and delays. – National exchange at scale: Billions of records moved last year, with thousands of hospitals and tens of thousands of clinics connected under federal frameworks.

Proven impact you can measure

– More than 85% of Epic customers use Epic AI features. – AI summaries run at over 300 health systems. – Ask Emmie reduced call time and inbox load in early sites. – Chart with Art supports dozens of specialties and nursing. – An early Agent Factory bot saved 20 hours per week. These are not isolated wins. They compound: better pre-visit prep plus faster notes plus fewer messages equals more clinician time for care and less burnout.

A 90-day playbook to capture value

1) Pilot the core trio: summaries, charting, and patient Q&A

– Turn on clinician summaries that include outside records. – Enable Chart with Art for a small group of motivated providers. – Launch Ask Emmie to deflect common portal and billing questions.

2) Set up simple governance

– Name a physician and nursing champion, plus privacy and IT leads. – Define metrics: minutes saved per note, after-hours charting, inbox volume, patient response time, and staff satisfaction. – Hold weekly huddles to review results and tweak prompts or settings.

3) Automate one nagging task with Agent Factory

– Pick a clear, high-volume workflow (transfer summaries, referral triage, pre-op checks). – Build or adapt an existing agent; test with a small cohort. – Measure time saved and error reduction; expand if results hold.

4) Tackle prior authorization

– Work with payers that support Coverage Requirements Discovery. – Embed real-time checks in ordering workflows to prevent rework. – Track turnaround times and abandonment rates.

5) Prepare for predictive support

– Join or expand contributions to Cosmos to access Curiosity on release. – Choose two use cases with clear actions (readmission risk flags with nurse outreach; stroke risk prompts with order sets). – Create playbooks so a prediction leads to a next step every time.

6) Train for change, not just features

– Use short, role-based training with live cases. – Pair superusers with peers for shadow support. – Share weekly wins to keep momentum.

Risk, safety, and trust

– Keep a human in the loop. Clinicians review and sign off on all actions. – Log and audit agent activity. Monitor for drift and bias. – Update policies for AI use, consent, and documentation. – Report outcomes to quality and regulatory teams to align with evolving rules. As health systems look to save minutes in every visit and hours each week, the pattern is clear: start small, measure ruthlessly, and scale what works. With Epic EHR AI workflow automation, teams can reduce inbox noise, finish notes faster, and cut handoff and authorization delays—freeing clinicians to focus on care while building a safer, smarter digital front door.

(Source: https://www.fiercehealthcare.com/health-tech/epic-expands-ai-ambitions-agent-platform-cosmos-powered-predictions-and-deeper-workflow)

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FAQ

Q: What is Epic EHR AI workflow automation and which tools are included? A: Epic EHR AI workflow automation is Epic’s effort to embed generative AI and automation into clinical, operational, and administrative workflows within the EHR. It includes clinician copilots like Art and Chart with Art, the patient assistant Emmie (Ask Emmie), the revenue copilot Penny, Agent Factory for task bots, and predictive models built on Cosmos such as Curiosity. Q: How does Epic EHR AI workflow automation improve pre-visit preparation for clinicians? A: Art generates focused summaries of the chart and Emmie collects patient updates and questions in MyChart before visits so care teams start each encounter aligned on key issues. Epic reports that summaries including outside records help users spot new information they might otherwise have missed. These features are central to Epic EHR AI workflow automation. Q: What does Chart with Art do during the patient visit and how widely is it used? A: Chart with Art listens to the clinician-patient conversation, drafts the note, and tees up orders or documentation for clinician review. It supports voice interaction and is live across more than 70 specialties as a core component of Epic EHR AI workflow automation. Q: What is Agent Factory and how can a health system use it to automate tasks? A: Agent Factory is Epic’s no-code platform for building, running and monitoring AI agents that can act across clinical and operational workflows as part of Epic EHR AI workflow automation. Epic offers more than 100 agent features to start and early adopters have shaped or built agents for tasks like summarizing transfer requests. One early Agent Factory bot reportedly saved about 20 hours per week, and Epic says the platform will be widely available in 2027. Q: How does Epic use Cosmos and Curiosity to provide clinical predictions, and when will Curiosity be integrated into the EHR? A: Cosmos aggregates de-identified clinical data from hundreds of health systems and Curiosity is a generative model trained on that dataset to forecast outcomes such as readmission or stroke risk. Twenty organizations are validating Curiosity, and Epic plans broader EHR integration of Curiosity in 2027. These predictive features are part of Epic EHR AI workflow automation. Q: What interoperability features accompany Epic EHR AI workflow automation to reduce delays? A: Epic rolled real-time prior authorization checks into ordering workflows using the Coverage Requirements Discovery standard API, with four health systems live and more payers testing. It also added single-click diagnostic image exchange across Care Everywhere so providers can retrieve CT, X-ray and MRI images without duplicate scans as part of Epic EHR AI workflow automation. Q: What measurable impacts have early adopters reported from Epic EHR AI workflow automation? A: Early adopters report measurable gains from Epic EHR AI workflow automation: more than 85% of Epic customers use Epic AI features, AI summaries run at over 300 health systems, and Ask Emmie and Chart with Art have reduced call hours and inbox volume in early sites. Specific examples include Ochsner saving over 1,000 call center hours in 10 months, a site reporting 73% fewer billing messages, and an Agent Factory bot saving about 20 hours per week. Q: How should a health system start a 90-day pilot to capture value from Epic EHR AI workflow automation? A: To pilot Epic EHR AI workflow automation, start by piloting the core trio — clinician summaries, Chart with Art for charting, and Ask Emmie for common patient questions — while naming physician and nursing champions and defining metrics like minutes saved per note and inbox volume. Add one Agent Factory automation for a high-volume task, begin payer work for real-time prior authorization, consider contributing to Cosmos for future predictive features, and use short role-based training with superusers and weekly huddles to iterate.

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