AI-Driven Prediction of Hospital-Acquired Infections With EHR
ConditionHospital-acquired Infections
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age0-90
SponsorThe Eye Hospital of Wenzhou Medical University
About this trial
This is a multi-center, clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for identifying and diagnosing infection, leveraging multimodal health data.
Eligibility criteria
Qualifiers
Patients with complete and accessible EHR data, including medical history, laboratory test results, treatment regimens, clinical observations, and infection history.
Patients who have been admitted to the participating hospital or healthcare facility during the study period.
All participants must provide informed consent to use their health data for research purposes.
Disqualifiers
Patients with incomplete or missing critical EHR data, such as lab results, medical history, or treatment details, which are necessary for infection prediction.
Patients who have severe cognitive disorders, dementia, or conditions that prevent them from providing informed consent or participating in the study.
Patients who have not been admitted to the hospital during the study period or who are receiving outpatient care only.
Patients with terminal conditions where infection prediction may not be applicable to the clinical goals of the study.
Trial design
Treatments tested in this trial
- AI-Based Diagnostic and Prognostic Model
Treatment groups
1,000,000 Participants
are divided into 2 treatment groupsSponsors and collaborators
The Eye Hospital of Wenzhou Medical University
Lead sponsor
Wenzhou Medical University
Sponsor institution
Source ClinicalTrials.gov