Evaluation of a Retrieval Augmented Large Language Model as a Diagnostic Copilot in Rheumatology
NCT ID: NCT07166692
Last Updated: 2025-09-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
82 participants
INTERVENTIONAL
2025-10-02
2026-02-02
Brief Summary
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Detailed Description
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This randomized controlled trial will test whether access to Prof. Valmed improves physicians' diagnostic performance in cases of suspected rheumatic disease compared with conventional decision support. Participants will be randomized to either use Prof. Valmed or rely on conventional tools while working through standardized clinical cases. For each case, participants will submit up to three differential diagnoses and a confidence rating. Independent reviewers, blinded to group allocation, will adjudicate accuracy. Findings will clarify the benefits and limitations of integrating Prof. Valmed into routine practice.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Prof. Valmed
Group will be given access to Prof. Valmed.
Prof. Valmed
Prof Valmed. decision support system.
Control group
Group will not be given access to Prof. Valmed but will be encouraged to use any resources they wish besides large language models (UpToDate, etc).
No interventions assigned to this group
Interventions
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Prof. Valmed
Prof Valmed. decision support system.
Eligibility Criteria
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Inclusion Criteria
* Training in rheumatology, internal medicine, emergency medicine, family medicine, dermatology or orthopedics.
Exclusion Criteria
ALL
Yes
Sponsors
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University Medical Center Hamburg-Eppendorf (UKE)
UNKNOWN
Oslo University Hospital
OTHER
Diakonhjemmet Hospital
OTHER
University Hospital Erlangen
OTHER
Charite University, Berlin, Germany
OTHER
Rheumazentrum Ruhrgebiet
OTHER
University of Lausanne Hospitals
OTHER
Klinikum Fulda
OTHER
Philipps University Marburg
OTHER
Responsible Party
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Principal Investigators
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Johannes Knitza, MD PhD
Role: PRINCIPAL_INVESTIGATOR
University Marburg
Locations
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Institute for Digital Medicine, University Hospital of Giessen and Marburg, Philipps University Marburg
Marburg, , Germany
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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24-221-1
Identifier Type: -
Identifier Source: org_study_id
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