- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT07760051
Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission
Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission: A Randomized Controlled Study
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.
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
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Type d'étude
Inscription (Estimé)
Phase
- N'est pas applicable
Contacts et emplacements
Coordonnées de l'étude
- Nom: Yixin Zhang
- Numéro de téléphone: +86 19157950225
- E-mail: 12518552@zju.edu.cn
Lieux d'étude
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Zhejiang
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Hangzhou, Zhejiang, Chine, 310009
- 2nd Affiliated Hospital, School of Medicine, Zhejiang University
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Contact:
- Human Subject Research Ethics Committee
- Numéro de téléphone: +86 0571 87783759
- E-mail: keyanlunli_zheer@163.com
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Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
La description
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.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Recherche sur les services de santé
- Répartition: Randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Seul
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
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Comparateur actif: Groupe traditionnel
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Conventional resources only: the pre-admission clinical record, standard search engines.
No AI assistance.
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Expérimental: Agent-assisted group
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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.
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Expérimental: LLM-assisted group
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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.
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Mean Normalized Structured Score
Délai: Within one-hour study
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Mean of the rescaled case scores (each case rescaled to 100), divided by the number of cases completed; range 0 to 100.
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Within one-hour study
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Degree of Adherence to AI-Generated Recommendations
Délai: Within one-hour study
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Degree to which the submitted answer incorporates AI output.
Assessed in the Agent and LLM arms only.
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Within one-hour study
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Active Response Time per Case
Délai: Within one-hour study
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Active response time in seconds for each case, recorded automatically by the platform.Time is counted per case while that case's response page is active.
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Within one-hour study
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Collaborateurs et enquêteurs
Collaborateurs
Les enquêteurs
- Chaise d'étude: Yuan Ding, Second Affiliated Hospital, Zhejiang University, School of Medicine
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Estimé)
Achèvement primaire (Estimé)
Achèvement de l'étude (Estimé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Autres numéros d'identification d'étude
- 2026-0977
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Informations sur les médicaments et les dispositifs, documents d'étude
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