Large Language Model Summarization of Physician-to-Physician Calls for Interhospital Transfer of Patients With ST-Elevation Myocardial Infarction: Observational Study - Report - MDSpire

Large Language Model Summarization of Physician-to-Physician Calls for Interhospital Transfer of Patients With ST-Elevation Myocardial Infarction: Observational Study

  • By

  • Jesse O Wrenn

  • Madelaine Behrens

  • Mary S Hershey

  • Marc Maldaver

  • John Mitchell

  • Trevor Thompson

  • Austin J Triana

  • Zain M Virk

  • Yasemin Akdas

  • Michael R Cauley

  • Michael J Ward

  • Ken Monahan

  • June 25, 2026

  • 0 min

Share

Clinical Report: Evaluation of Large Language Model Summaries for Interhospital Transfers of Patients Experiencing ST-Elevation Myocardial Infarction

Overview

This study evaluates the feasibility of using large language models (LLMs) to summarize transfer calls for patients experiencing ST-elevation myocardial infarction (STEMI).

Background

ST-elevation myocardial infarction (STEMI) is a time-sensitive cardiovascular emergency requiring rapid access to primary percutaneous coronary intervention (PCI). With 61% of U.S. hospitals lacking PCI capabilities, effective communication during interhospital transfers is essential for improving patient outcomes. The study explores the use of LLMs to summarize transfer calls.

Data Highlights

No numerical data or trial data provided in the source material.

Key Findings

  • Approximately 50% of STEMI patients require transfer to PCI-capable hospitals.
  • Shorter transfer times correlate with improved door-to-balloon times and reduced mortality rates.
  • LLMs can summarize transfer calls without human intervention.
  • Effective communication between referring and receiving institutions is identified as a barrier to timely transfers.
  • The study utilized the Physician Documentation Quality Instrument (PDQI) to evaluate LLM-generated text.

Clinical Implications

The study presents findings on the use of LLMs for summarizing transfer calls in STEMI cases.

Conclusion

The study presents findings on the use of LLMs to summarize communication during interhospital transfers for STEMI patients.

Related Resources & Content

  1. Vanderbilt University Medical Center, Evaluation of Large Language Model Summaries for Interhospital Transfers of Patients Experiencing ST-Elevation Myocardial Infarction, 2024 -- Evaluation of Large Language Model Summaries for Interhospital Transfers of Patients Experiencing ST-Elevation Myocardial Infarction
  2. npj Digital Medicine — Collaboration Between Humans and Large Language Models in Clinical Practice: A Systematic Review and Meta-Analysis
  3. European Radiology — Evaluating the Efficacy of Seven Optimized Open-Source Large Language Models for Summarizing and Predicting Outcome-Related Data from Mechanical Thrombectomy Reports in Acute Ischemic Stroke Patients
  4. npj Digital Medicine — Evaluating clinical AI summaries with large language models as judges
  5. npj Digital Medicine — The evaluation illusion of large language models in medicine
  6. 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes
  7. Analysis of inter-hospital transfer on clinical outcomes after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: A secondary analysis of the BRIGHT-4 trial
  8. Improving Door-In-Door-Out Times for STEMI Transfer Patients: Impact of a Protocolized Autolaunch Process | JACC: Case Reports
  9. Interhospital transfer versus direct admission for percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction: a systematic review and meta-analysis - PubMed

Original Source(s)

Large Language Model Summarization of Physician-to-Physician Calls for Interhospital Transfer of Patients With ST-Elevation Myocardial Infarction: Observational Study

  • by Jesse O Wrenn, Madelaine Behrens, Mary S Hershey, Marc Maldaver, John Mitchell, Trevor Thompson, Austin J Triana, Zain M Virk, Yasemin Akdas, Michael R Cauley, Michael J Ward, Ken Monahan

  • June 25, 2026

Related Content

Non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio is associated with cardiovascular outcomes after percutaneous coronary intervention in patients with type 2 diabetes

Prognostic value of CTI for major adverse cardiovascular events in patients With ST-elevation myocardial infarction after primary percutaneous coronary intervention

Network analysis identifies core fear symptoms as screening clues for post-PCI rehabilitation in patients with acute myocardial infarction