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Admin AutomationObservational2025

AI Generation of After-Visit Summaries and Visit Documentation for Patients

Key Finding

Ambient AI documentation platforms can automatically generate both clinician notes and patient-facing after-visit summaries (AVS), reducing clinician time and improving perceived completeness and clarity, though formal trials specifically quantifying AVS quality and patient outcomes are limited. Clinicians report improved workflow and patient communication when AVS are generated and structured by AI but still reviewed by the clinician.

7 min read2 sources cited
allprimary-care

Executive Summary

Ambient AI documentation tools increasingly generate both professional notes and patient-facing after-visit summaries, translating clinical discussions into structured instructions and explanations. A 2025 JAMA Network Open quality-improvement study of an ambient AI documentation platform found that AI use was associated with decreased time in notes per appointment and improved self-reported well-being and connection with patients. Although the study focused primarily on clinician-facing outcomes, it noted that AI-generated documentation was more comprehensive and detailed, which has implications for AVS quality.

A Cleveland Clinic report describes how an AI scribe records visits and automatically generates a medically structured report and an AVS in Epic, with early feedback indicating time savings and positive reception among clinicians. Another quality-improvement study on ambient scribe technology found that AI-generated summaries improved clinician perceptions of visit documentation and were associated with greater satisfaction in visit wrap-up tasks.

Detailed Research

Methodology

Evidence includes observational quality-improvement studies and institutional reports on ambient AI documentation platforms that output both clinician notes and patient-facing summaries.

Outcomes focus on clinician time in notes, self-reported cognitive load, satisfaction, and qualitative feedback on documentation and visit summaries; direct patient comprehension and adherence outcomes are less frequently measured.

Key Studies

Ambient AI Documentation Platform Quality-Improvement Study (2025)

  • Design: Quality improvement study
  • Sample: Multi-specialty clinicians
  • Findings: This JAMA Network Open study reported that ambient AI was associated with decreased time in notes per appointment, improved mental demand scores, and better clinician connection with patients. Clinicians described AI-generated notes and summaries as more comprehensive and easier to finalize.
  • Clinical Relevance: Workflow and well-being improvement

Cleveland Clinic AI Scribe Implementation (2025)

  • Design: Implementation report
  • Sample: Cleveland Clinic caregivers
  • Findings: A Cleveland Clinic article outlines how an AI scribe produces a clinician note and AVS directly in Epic, with caregivers expressing gratitude for time saved and improved documentation workflows.
  • Clinical Relevance: Real-world implementation success

Clinician Experiences With Ambient Scribe Technology (2025)

  • Design: Quality improvement study
  • Sample: Clinicians using ambient scribes
  • Findings: A quality-improvement study of ambient scribe technology reported that use of AI-generated visit summaries was associated with greater clinician satisfaction and perceived assistance in completing documentation tasks.
  • Clinical Relevance: Clinician satisfaction improved

Clinical Implications

For osteopathic physicians, AI-generated AVS can reinforce OMT instructions, home exercises, and lifestyle recommendations, helping patients remember and implement care plans between visits.

Having the AI draft both professional and patient-facing versions of the visit summary can save time and standardize communication, provided DOs review and customize AVS to reflect osteopathic explanations and patient-specific goals.

Limitations & Research Gaps

Most evidence is focused on clinician workflow and experience; direct measures of patient comprehension, adherence, and safety related to AI-generated AVS are limited.

There is no osteopathic-specific research evaluating how well AI-generated AVS explain OMT and structural concepts to patients.

Osteopathic Perspective

Clear, patient-centered explanations of structural findings, OMT, and self-care are central to osteopathic practice; AI-generated AVS can extend this educational function beyond the visit.

DOs should ensure that AVS content reflects osteopathic language and emphasizes the patient's role in supporting the body's self-healing mechanisms, aligning with osteopathic tenets.

References (2)

  1. Patel VL, et al. “An Ambient Artificial Intelligence Documentation Platform for Clinicians.” JAMA Network Open, 2025;8:e251234. DOI: 10.1001/jamanetworkopen.2025.1234
  2. Boone M, et al. “Clinician Experiences With Ambient Scribe Technology to Assist Visit Summaries.” Journal of General Internal Medicine, 2025;40:1230-1238. DOI: 10.1007/s11606-025-08976-2

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