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Development of Portable Electronic Health Record Based Algorithms to Identify Individuals with Diabetic Retinopathy.
Medrxiv : the Preprint Server for Health Sciences
|November 28, 2023
Summary
Algorithms were developed to identify diabetic retinopathy (DR) cases and controls from electronic health records (EHRs). These algorithms showed robust performance across multiple healthcare systems, improving upon existing methods for high-throughput screening.
Area of Science:
- Ophthalmology
- Medical Informatics
- Biostatistics
Background:
- Diabetic retinopathy (DR) is a leading cause of vision loss, necessitating efficient identification methods.
- Electronic Health Records (EHRs) offer a rich data source for identifying patient cohorts for research and clinical care.
Conclusions:
- The developed EHR algorithms are robust and perform well across multiple healthcare centers.
- These algorithms offer improved NPV compared to existing high-throughput methods for DR case and control identification.
- Independent validation and EHR-specific feature incorporation are encouraged to further enhance algorithm performance.
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