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Prospective Evaluation of AI Generated History of Present Illness Drafts in the Emergency Department

NCT07804407 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-09-04

No results posted yet for this study

Summary

This single-center prospective observational study evaluates whether an on-premise, large language model-based tool (EDnote) that generates a draft history of present illness (HPI) from real-time transcription of the patient-physician encounter produces documentation of higher quality than conventional physician-written HPI in the emergency department. The treating physician writes the conventional HPI blinded to the AI draft. Unedited AI-generated HPI drafts and conventional HPI are compared through blinded review by independent emergency physicians.

Conditions

  • All Emergency Department Visits Meeting Eligibility Criteria

Interventions

OTHER

EDnote HPI (AI-generated HPI draft)

On-premise large language model-based tool that transcribes the patient-physician encounter in real time and generates an unedited HPI draft. The treating physician is blindedto the AI HPI draft.

OTHER

Conventional physician HPI

HPI written by the treating emergency physician according to usual practice, blinded to the EDnote-generated HPI draft.

Sponsors & Collaborators

  • Yonsei University

    lead OTHER

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-01
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07804407 on ClinicalTrials.gov