AI-assisted and traditional workflows for admission diagnosis and management planning

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The study compares three parallel workflows—Agent-assisted, LLM-assisted, and Traditional—to see which yields more accurate and efficient admission diagnoses and management plans on standardized simulated inpatient cases. Participants are practicing internal medicine and surgery physicians across all seniority levels from 15 hospitals in China. The design uses video-proctored remote assessments with a one-hour case session and relies on electronic records to simulate real-world decision making. Outcomes focus on diagnostic structure, accuracy, and planning quality, with attention to workflow impact on performance. Excluded are those with prior exposure to the reference materials or inability to complete training and assessments.

Why it matters

Who can join: the full rules

Inclusion Criteria

* Hold a Medical Practitioner Qualification Certificate and/or Medical License, or be a recognized standardized resident physician; able to independently read electronic medical records, laboratory and imaging reports on an HIS.
* Currently engaged in clinical work in internal medicine or surgery at one of the 15 participating hospitals.
* Able to complete the case assessment in one continuous hour without breaks.
* Able to participate remotely under video proctoring, with a stable internet connection and a working camera.
* Voluntarily agree to participate and sign the informed consent form, including the declaration not to use unauthorized AI tools during the assessment.
* Have not participated in case drafting, review, rubric development, or any activity that may leak the reference standard.

Exclusion Criteria

* Have previously accessed the official test cases or reference standard of this study.
* Unable to complete the training module, qualification test, or all experimental tasks.
* Have conflicts of interest, e.g. participation in developing core algorithms of the tested system.
* Unwilling to comply with remote proctoring, including keeping the camera on throughout.
* Judged unsuitable by the investigators.

Where it's running

• 2nd Affiliated Hospital, School of Medicine, Zhejiang University
  Hangzhou, Zhejiang, China Recruiting

Study contacts

• Study coordinator: Yixin Zhang
• Email: 12518552@zju.edu.cn
• Phone: +86 19157950225

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.