[Smart eye data : Development of a foundation for medical research using Smart Data applications]

Area of Science:

• Ophthalmology
• Health Informatics
• Data Science

Background:

• Smart Data utilization is crucial in ophthalmology due to rapidly increasing data volumes.
• Integrating clinical data from electronic health records (EHR) with measurement data promises enhanced knowledge and personalized therapies.

Purpose of the Study:

• To investigate the consolidation of measurement device data and clinical data within a data warehouse (DW).

Main Methods:

• An ophthalmology-specific EHR was developed, and referral letter contents were extracted.
• Measurement devices were linked to the EHR via HL7 interface and PACS; data were exported using custom software.
• Data analysis software was adapted for ophthalmology-specific requirements.

Main Results:

• Data from 32,234 referral letters were extracted and imported into the DW.
• 23 diagnostic devices were linked to PACS, importing 85,114 OCT scans, 19,098 IOLMaster measurements, and 5,425 Pentacam examinations for over 300,000 patients.
• Data discovery software was modified with advanced filtering capabilities.

Conclusions:

• A data warehouse was successfully implemented, providing a foundation for clinical and epidemiological studies in ophthalmology.
• The established database can support future decision support systems and personalized treatment strategies.