Big data and electronic health records for glaucoma research

Area of Science:

• Ophthalmology
• Health Informatics
• Medical Research

Background:

• Electronic health records (EHRs) have revolutionized ophthalmic research by providing extensive patient data.
• EHRs contain structured and unstructured information on patient characteristics, treatments, and outcomes crucial for glaucoma studies.

Purpose of the Study:

• To review diverse electronic health record (EHR) data sources for glaucoma research.
• To discuss the strengths, limitations, and applications of various EHR repositories in ophthalmology.

Main Methods:

• Review of institutional EHR repositories, multicenter initiatives (e.g., Sight Outcomes Research Collaborative, Intelligent Research In Sight), and large-scale programs (e.g., All of Us Research Program).
• Analysis of data types, including multimodal clinical data, epidemiological information, treatment outcomes, and practice patterns.
• Consideration of challenges such as data access and standardization.

Main Results:

• Institutional EHRs offer detailed data for in-depth glaucoma investigations and AI development.
• Multicenter initiatives provide larger, diverse datasets for generalizable findings on glaucoma epidemiology and treatment.
• The All of Us Research Program enhances glaucoma research inclusivity with comprehensive health data.

Conclusions:

• EHR data significantly advances glaucoma research, offering insights into disease patterns and treatment efficacy.
• Addressing data access and standardization challenges is crucial for maximizing EHR utility in ophthalmic research.
• Collaborative efforts and improved data linkage can enhance understanding and treatment of glaucoma globally.