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The benefits and challenges of electronic health records (EHRs) as data sources for clinical and epidemiologic research have been well described. However, several factors are important to consider when using EHR data to study novel, emerging, and multifaceted conditions such as postacute sequelae of SARS-CoV-2 infection or long COVID. In this article, we present opportunities and challenges of using EHR data to improve our understanding of long COVID, based on lessons learned from the National Institutes of Health (NIH)-funded RECOVER (REsearching COVID to Enhance Recovery) Initiative, and suggest steps to maximize the usefulness of EHR data when performing long COVID research.
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http://dx.doi.org/10.2196/59217 | DOI Listing |
JAMIA Open
October 2025
Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.
Objective: To develop a natural language processing (NLP) pipeline for unstructured electronic health record (EHR) data to identify symptoms and functional impacts associated with Long COVID in children.
Materials And Methods: We analyzed 48 287 outpatient progress notes from 10 618 pediatric patients from 12 institutions. We evaluated notes obtained 28 to 179 days after a COVID-19 diagnosis or positive test.
JAMIA Open
October 2025
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, United States.
Objectives: Type 2 diabetes (T2D) is a growing public health burden with persistent racial and ethnic disparities. . This study assessed the completeness of social determinants of health (SdoH) data for patients with T2D in Epic Cosmos, a nationwide, cross-institutional electronic health recors (EHR) database.
View Article and Find Full Text PDFNpj Health Syst
September 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN USA.
Most clinical AI solutions center on patient data-particularly those from electronic health records (EHR)-while overlooking the clinician activities that shape care and signal patient outcomes. EHR use metadata, which capture fine-grained clinician-EHR interactions, represent a powerful yet underutilized resource that complements patient data. This perspective highlights the opportunity of integrating EHR use metadata with patient data to advance the development, evaluation, and real-world impact of clinical AI.
View Article and Find Full Text PDFFront Public Health
September 2025
King's Daughters Medical Center, University of Kentucky, Ashland, KY, United States.
Using precision analytics approaches with population health data helps identify localized patterns of social determinants and comorbidities, supporting the design of tailored interventions. The University of Kentucky College of Public Health (UKCPH) and UK King's Daughters (UKKD) have partnered to create a Precision Public Health Alliance (PPHA) applying precision analytics to UKKD electronic health records (EHR) as well as secondary datasets to map social, demographic, and clinical comorbidity factors onto colorectal cancer (CRC) screening data in UKKD's rural service area (the northeastern Kentucky counties of Boyd, Carter, Greenup, and Lawrence and southeast Ohio county of Lawrence). In addition to UKKD and UKCPH clinicians and researchers, PPHA includes a community-based Action Team of local social services, behavioral health, and public health agencies and Cooperative Extension agents responsible for translating findings into quality improvement priorities.
View Article and Find Full Text PDFPharmacotherapy
September 2025
Department of Biomedical Informatics, School of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Background: Omeprazole, a widely used proton pump inhibitor, has been associated with rare but serious adverse events such as myopathy. Previous research suggests that concurrent use of omeprazole with fluconazole, a potent cytochrome P450 (CYP) 2C19/3A4 inhibitor, may increase the risk of myopathy. However, the contribution of genetic polymorphisms in CYP enzymes remains unclear.
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