AI-Assisted Medical Decision-Making
A Cohort Study to Evaluate an Artificial Intelligence Model for Assisting Medical Decision-Making Using Real-Time Hospital-Wide Electronic Health Record Data
The Eye Hospital of Wenzhou Medical University
50,000,000 participants
Feb 24, 2025
OBSERVATIONAL
Conditions
Summary
The study builds and applies an AI model to help doctors predict patient diagnoses and outcomes, such as survival or hospital stay. Real-time, multimodal data (labs, vital signs, history, imaging) from hospital records will be used. Patients will be tracked to compare the AI's performance with standard care. The goal is to improve diagnosis and treatment accuracy in a real-world, prospective study.
Eligibility
Inclusion Criteria2
- Patients admitted to any department of the hospital (e.g., ICU, general wards, emergency, outpatient services) during the study period.
- Patients with available real-time electronic health record (EHR) data, including at least two of the following: laboratory results, vital signs, medical history, and imaging data.
Exclusion Criteria1
- Patients currently enrolled in another clinical trial that could interfere with data collection or outcomes of this study.
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
The intervention in this study involves an AI system that leverages multimodal data fusion to support the clinical decision-making and evaluation of diseases. Patients in this cohort will undergo standard examinations, with clinical decisions guided by the recommendations generated by the AI system.
Locations(2)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06846229