Actively Recruiting
Predicting Clinical Outcomes in Dialysis Patients Using Electronic Health Records: An AI-Based Approach
Led by The Eye Hospital of Wenzhou Medical University · Updated on 2025-04-17
1000000
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are investigating an AI-assisted predictive model designed to forecast clinical outcomes for patients undergoing dialysis. The study focuses on predicting both primary outcomes, such as mortality, and intermediate outcomes including anemia, blood pressure control, nutritional status, and calcium-phosphate metabolism. By using electronic health records (EHR) data, the study aims to identify patients at higher risk early and support personalized care decisions. The study uses an AI-assisted model that analyzes various data from patients' EHRs, such as medical history, lab results, dialysis treatment information, and clinical observations. Participants are categorized into two groups based on the AI prediction: those with a high risk of mortality and those with a low risk. The study compares these groups to assess how well early intervention strategies might work. Participants will have their health records reviewed and analyzed to predict outcomes over a one-year period. Researchers will evaluate the accuracy of mortality and complication predictions using the AI model. The study requires patients to have been on dialysis for at least three months with complete medical data available. Participation involves consenting to the use of health data and monitoring of clinical outcomes through EHRs, with the goal of improving care for dialysis patients.
CONDITIONS
Brief Title
AI-Driven Prediction of Dialysis Outcome With EHR
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients undergoing dialysis (hemodialysis or peritoneal dialysis) for at least 3 months
- Complete and accessible electronic health records including medical history, lab results, dialysis treatment details, and clinical observations
- Ability to provide informed consent for use of health data in research
You will not qualify if you...
- Incomplete or missing critical electronic health record data needed for the study
- Dialysis treatment duration less than 3 months
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person or remote) to confirm eligibility and consent
Duration - 1 year
Participants' electronic health records (EHR) data, including medical history, laboratory results, dialysis treatment details, and clinical observations, are monitored and analyzed using an AI-assisted predictive model to assess risk and predict clinical outcomes.
Data collection occurs through routine dialysis care visits without additional visits required for the study
Trial Site Locations
Total: 1 location
1
General Hospital of PLA
Beijing, Beijing Municipality, China
Actively Recruiting
Research Team
F
Fei Liu, MD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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