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

Prospective Evaluation of Artificial Intelligence-generated History of Present Illness Drafts in the Emergency Department

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07804407
Enrollment
100
Registered
2026-09-04
Start date
2026-09-01
Completion date
2026-12-31
Last updated
2026-09-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

All Emergency Department Visits Meeting Eligibility Criteria

Keywords

emergency department, ai scribe, ambient scribe, history of present illness

Brief 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.

Interventions

OTHEREDnote 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.

OTHERConventional physician HPI

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

Sponsors

Yonsei University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
19 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥19 years; presenting to the emergency department; initial encounter documented with EDnote; verbal consent to study participation.

Exclusion criteria

* Cardiac arrest; limited ability of both patient and guardian to communicate verbally; refusal of participation.

Design outcomes

Primary

MeasureTime frame
Encounter-level clinical fact capture rateAt blinded review, within 6 months after each index ED visit

Secondary

MeasureTime frame
Modified PDQI-9 scoreAt blinded review, within 6 months after each index ED visit
AI HPI draft generation timeAt index ED visit
Rater identification of document authorship (AI vs. physician-written)At blinded review, within 6 months after each index ED visit

Countries

South Korea

Contacts

CONTACTStephen GW LEE
leestephengyungwon@yuhs.ac82-2-2228-2678

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 5, 2026