2nd Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, 310009, China
NCT Number: NCT07760051
The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis 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 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-only group, Agent group) to determine whether the Agent tool can improve diagnostic accuracy 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 * Complete 6 anonymized simulated HIS admission cases within one hour * 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
Trial opening soon.
Get Notified18 year and older
All sexes
Interventional
Not applicable
Hangzhou, Zhejiang, 310009, China
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Conventional resources (pre-admission clinical record, search engines) plus an in-system Agent entry that automatically reads the full record and report images, produces a structured summary with source-text tracing, and supports multi-turn Q&A and one-click editable drafts.
Conventional resources plus an in-system multi-turn AI dialogue entry. The AI does not automatically read the record; participants paste text or send partial screenshots.
Conventional resources only: the pre-admission clinical record, standard search engines. No AI assistance.
Time frame: Within one-hour study
Mean of the rescaled case scores (each case rescaled to 100), divided by the number of cases completed; range 0 to 100.
Time frame: Within one-hour study
Degree to which the submitted answer incorporates AI output. Assessed in the Agent and LLM arms only.
Time frame: Within one-hour study
Active response time in seconds per case, recorded automatically by the platform. The timer runs only while a case page is open and pauses when it is closed.
Time frame: Within one-hour study
Mean of the rescaled "next diagnostic or therapeutic steps" domain scores (each case rescaled to 100), divided by the number of cases completed; range 0 to 100.
Contact information is provided by the study sponsor or research team.
Second Affiliated Hospital, Zhejiang University, School of Medicine
Other
Agent-Assisted, LLM-Assisted and Traditional Workflows for Physician Admission Diagnosis: A Randomized Controlled Study
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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