AI for Clinicians
Learn how clinicians in the Epic community use AI to more quickly learn about their patients, complete documentation, and wrap up visits.
Before the Visit – Catching Up on Patients
Note Summarization
To help clinicians efficiently prep for outpatient visits, AI reviews recent notes and external data, and provides concise summaries of relevant details with references to the notes where specific details were discussed.
Inpatient Summarization
To help clinicians prepare for their patients, AI sifts through recent patient data and highlights important updates, providing concise summaries of each patient's status.
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End of Shift Notes
Nurses can get a head start on documentation by having AI draft end-of-shift notes using shift data already available in the patient's chart—including progress on patient goals. Concise, detailed summaries help the next shift get up to speed.
During the Visit – AI Charting
Ambient Notes & Ambient Flowsheets
Ambient voice recognition and natural language processing can turn clinicians’ conversations with patients into clinical documentation for their review.
AI Text Assistant
With a click, clinicians can adjust their writing for factors like brevity, format, and simplicity—whatever suits their intended audience best.
Discharge Summary
AI can summarize the events from each patient’s stay, speeding up the discharge planning process and helping patients get home sooner.
Ambient Ordering
Epic identifies orders discussed during a visit and queues them up for the clinician to verify, edit as needed, and sign.
After the Visit – Automate Actions
Level of Service Codes
Epic automatically suggests a level of service based on data entered during each visit—including free text details in notes.
Risk Adjustment
Epic uses data from notes in the chart to improve the accuracy of risk capture, chronic disease management, and diagnosis coding.
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Electronic Prior Authorization
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Gen AI Saves Nurses Time by Drafting Responses to Patient Messages
Mayo Clinic uses generative AI to draft responses to patient messages. Initial pilots showed that it saves nurses around 30 seconds per message and drafts more empathetic responses. Mayo Clinic plans to expand access to all LPNs and RNs by mid-2024, which could save 1,500 hours per month.
Read the full story on EpicShare.org →
'Let's make our physicians superhuman': How Christ Hospital uses AI in Epic
Christ Hospital Health Network in Cincinnati implemented an AI-driven feature to detect lung cancer nodules. Since its launch in mid-August, the tool has aided the identification of over 4,200 lung nodules, leading to nearly 100 cancer detections and over 50 treatments.
Read the full story from Becker's Hospital Review →
Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency
In this Penn Medicine study, use of an ambient scribe tool was associated with greater clinician efficiency, lower mental burden of documentation, and greater sense of engagement with patients during outpatient appointments.
Read the full story from the JAMA Network →
Completeness, Correctness and Conciseness of Physician-Written Versus Large Language Model Generated Patient Summaries Integrated in Electronic Health Records
This University Medical Center Groningen study found that LLM-generated summaries are comparable to physician-written summaries in terms of completeness and correctness, though slightly less concise. These findings suggest that LLMs might be effective in reducing clinicians' administrative burden without compromising summary quality.
Read the full story from SSRN →Resources
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