Publications by authors named "Mark M Shervey"
Article Synopsis
- Electronic health records (EHRs) are widely used in healthcare, but issues with interoperability and technical requirements hinder their application in research, prompting the need for more accessible tools for researchers.
- PatientExploreR is a user-friendly application built on the R/Shiny framework that allows researchers to interact with EHR data, creating dynamic reports and visualizations without needing programming skills.
- The software is open-source and can be downloaded from GitHub, providing researchers with easy access to EHR data and a synthesized data sandbox for those without direct EHR access.
Importance: Consensus around an efficient second-line treatment option for type 2 diabetes (T2D) remains ambiguous. The availability of electronic medical records and insurance claims data, which capture routine medical practice, accessed via the Observational Health Data Sciences and Informatics network presents an opportunity to generate evidence for the effectiveness of second-line treatments.
Objective: To identify which drug classes among sulfonylureas, dipeptidyl peptidase 4 (DPP-4) inhibitors, and thiazolidinediones are associated with reduced hemoglobin A1c (HbA1c) levels and lower risk of myocardial infarction, kidney disorders, and eye disorders in patients with T2D treated with metformin as a first-line therapy.
Heritability is essential for understanding the biological causes of disease but requires laborious patient recruitment and phenotype ascertainment. Electronic health records (EHRs) passively capture a wide range of clinically relevant data and provide a resource for studying the heritability of traits that are not typically accessible. EHRs contain next-of-kin information collected via patient emergency contact forms, but until now, these data have gone unused in research.
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