NCT07760051 Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission
| NCT ID | NCT07760051 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Second Affiliated Hospital, Zhejiang University, School of Medicine |
| Condition | Clinical Decision Support Systems |
| Study Type | INTERVENTIONAL |
| Enrollment | 180 participants |
| Start Date | 2026-09-06 |
| Primary Completion | 2026-12 |
Eligibility & Interventions
Eligibility Fast-Check
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What to Expect as a Participant
You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.
This trial targets 180 participants in total. It began in 2026-09-06 with a primary completion date of 2026-12.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis and management planning performance on standardized simulated inpatient cases, among practicing internal medicine and surgery physicians across all seniority levels and across three tiers of the Chinese healthcare system. The main questions it aims to answer are: * Does the Agent-assisted workflow yield better structured admission diagnosis and management planning scores than standalone LLM assistance? * Does the Agent-assisted workflow outperform the traditional workflow without AI tools? Researchers will compare three parallel groups (traditional workflow group, LLM-assisted group, Agent-assisted group) to determine whether the Agent tool can improve diagnostic accuracy and efficiency. The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis and management planning performance on standardized simulated inpatient cases, among practicing internal medicine and surgery physicians across all seniority levels and across three tiers of the Chinese healthcare system. The main questions it aims to answer are: * Does the Agent-assisted workflow yield better diagnosis and management planning scores than the LLM-assisted workflow? * Does the Agent-assisted workflow yield better diagnosis and management planning scores than the conventional workflow without AI assistance? Researchers will compare three parallel groups (traditional workflow group, LLM-assisted group, Agent-assisted group) to determine whether the agent tool can improve diagnostic and management planning performance and efficiency. Participants will: * Be recruited from 15 hospitals in China and participate remotely under video proctoring * Be randomly assigned to one of the three fixed workflows, with randomization stratified by hospital tier, specialty and seniority * Work through 6 anonymized simulated HIS admission cases and complete as many as they can. * Submit structured answers for each case covering principal diagnosis, secondary diagnoses, differential diagnoses, diagnostic justification, next diagnostic or therapeutic steps, consultation and referral decisions, and diagnostic confidence. * Have their operation logs and time consumption recorded automatically by the study platform. * Complete a post-session questionnaire after submitting all cases.
Eligibility Criteria
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.
Contact & Investigator
Yuan Ding
STUDY CHAIR
Second Affiliated Hospital, Zhejiang University, School of Medicine
Frequently Asked Questions
Who can join the NCT07760051 clinical trial?
This trial is open to participants of all sexes, aged 18 Years or older, studying Clinical Decision Support Systems. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT07760051 currently recruiting?
Yes, NCT07760051 is actively recruiting participants. Contact the research team at 12518552@zju.edu.cn for enrollment information.
Where is the NCT07760051 trial being conducted?
This trial is being conducted at Hangzhou, China.
Who is sponsoring the NCT07760051 clinical trial?
NCT07760051 is sponsored by Second Affiliated Hospital, Zhejiang University, School of Medicine. The principal investigator is Yuan Ding at Second Affiliated Hospital, Zhejiang University, School of Medicine. The trial plans to enroll 180 participants.