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Review of Large Language Model (LLM) Summarization Tools for Clinical Care and Operations - On Demand 2026
Amid surging interest in AI, can LLMs actually lighten clinical documentation while protecting patients? In this practitioner-led review, we compare vendor tools and homegrown models that generate chart summaries, discuss integration with EHR workflows, and evaluate safety, bias, and ROI. You will design simple pilots, critique outputs, and synthesize metrics to transform practice and apply reliable summarization at the bedside.
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Availability
On-Demand
Expires on Apr 05, 2029
Credit Offered
0.75 CME Credit
0.75 ABIM-MOC Point
0.75 Participation Credit
  • Overview
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Learning Objectives
After completing this activity, learners should be able to:
  1. Describe how large language models function to generate summaries. Identify the stregnths of language models as well as key risks and limitations—including hallucination, omission bias, and context-length constraints.
  2. Our panelists will review our experience with various vendor summarization solutions at our respective institutions.
  3. Our panelists will review our experience with institution developed summarization solutions at our respective institutions.
  4. Attendees will learn how to transform an idea for an AI summarization tool into a practical implementation within clinical workflows. This will include instruction for how best to pragmatically study and measure the impact of your AI tool.
Faculty
  • Thomas Savage, MD
  • Steven Parnell Ma, MD, PhD
  • Eric Bressman, MD, MSHP
  • William Small, MD MBA
Faculty Disclosures
The individuals in control of content for this activity have no relevant relationships with ACCME-defined ineligible companies to disclose unless listed here. Any relevant relationships were mitigated prior to the start of this activity.
CME Credit Statement
The Society of Hospital Medicine designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

MOC Credit Statement
Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 0.75  MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.

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