Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
RECRUITING
NCT06791382

AI-Driven Prediction of Hospital-Acquired Infections With EHR

Sponsor: The Eye Hospital of Wenzhou Medical University

View on ClinicalTrials.gov

Summary

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.

Official title: Predicting Hospital-Acquired Infections Using Electronic Health Records: An AI-Assisted Approach

Key Details

Gender

All

Age Range

0 Years - 90 Years

Study Type

OBSERVATIONAL

Enrollment

1000000

Start Date

2023-02-01

Completion Date

2025-05

Last Updated

2025-04-17

Healthy Volunteers

Yes

Interventions

DIAGNOSTIC_TEST

AI-Based Diagnostic and Prognostic Model

This intervention involves an AI system that integrates multimodal data, including patient medical history, laboratory test results, clinical observations, and treatment data, to predict the risk of hospital-acquired infections (HAIs). The system uses deep learning algorithms to provide real-time, accurate predictions, enabling early identification of patients at risk for infections. By analyzing historical health data, the model aims to predict potential infection developments, improving early detection, prevention strategies, and patient outcomes in hospital settings.

Locations (2)

First Affiliated Hospital of Wenzhou Medical University

Wenzhou, Zhejiang, China

Second Affiliated Hospital of Wenzhou Medical University

Wenzhou, Zhejiang, China