- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- AI in cancer detection
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Healthcare and Education
- Medical Coding and Health Information
- Neuropeptides and Animal Physiology
- Retinal Imaging and Analysis
- Electronic Health Records Systems
- Architecture and Computational Design
- Architecture, Modernity, and Design
- Artificial Intelligence in Healthcare
- Autopsy Techniques and Outcomes
- Machine Learning in Healthcare
- Corneal surgery and disorders
- Nitric Oxide and Endothelin Effects
- Cultural Industries and Urban Development
- Blood Pressure and Hypertension Studies
University of California, San Diego
2023-2025
University of San Diego
2024-2025
La Jolla Alcohol Research
2024
University of Cambridge
2022
Evaluate the degree of concept coverage general eye examination in one widely used electronic health record (EHR) system using Observational Health Data Sciences and Informatics Medical Outcomes Partnership (OMOP) common data model (CDM).
Precis: In this multi-institutional effort, we identified gaps in SAP data elements within medical terminologies. We proposed new concepts to LOINC enhance standards and big representation improve interoperability across healthcare systems. Purpose: To identify the of Standard Automated Perimetry (SAP) Logical Observation Identifiers Names Codes (LOINC) Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) propose solutions for those gaps. Methods: source Digital Imaging...
This study aims to provide data on the effects of glucagon-like peptide 1 receptor (GLP-1R) agonists intraocular pressure (IOP). Retrospective cohort study. 1247 glaucoma surgery and treatment naïve eyes 626 patients who were initiated GLP-1R compared 1083 547 other oral antidiabetics. The University California Health Data Warehouse was queried for exposed or Index date defined as first exposure medication. Eyes with at least one pre-exposure post-exposure tonometry record within 365 days...