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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2196/59217 | DOI Listing |
Appl Clin Inform
March 2025
Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Objectives: This study aimed to demonstrate real-world use of the Making Electronic Data More Available for Research and Public Health (MedMorph) Reference Architecture (RA) for automated exchange of hepatitis C-related data for public health surveillance and research using Fast Healthcare Interoperability Resources (FHIR).
Methods: Pilot participants included a public health authority (PHA), research organization (RO), clinical sites, and electronic health record (EHR) vendors. The RA was tested for hepatitis C public health surveillance and research data exchange.
Int J Med Inform
March 2025
Professor of Social Research on Technology, Institute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, UK.
Background: Hospitals increasingly implement complex electronic health record (EHR) systems to improve quality, safety and efficiency. Whilst many aspects surrounding implementation and adoption processes have been researched, the benefits of such enterprise-wide systems may take decades to materialise. Existing work on optimisation processes has focused on technological, workflow and organisational aspects of optimisation within individual clinical settings, mostly in the United States of America.
View Article and Find Full Text PDFJMIR Med Inform
March 2025
LynxCare Inc, Leuven, Belgium.
Background: Processing data from electronic health records (EHRs) to build research-grade databases is a lengthy and expensive process. Modern arthroplasty practice commonly uses multiple sites of care, including clinics and ambulatory care centers. However, most private data systems prevent obtaining usable insights for clinical practice.
View Article and Find Full Text PDFJMIR Res Protoc
March 2025
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.
Background: Amyotrophic lateral sclerosis (ALS) leads to rapid physiological and functional decline before causing untimely death. Current best-practice approaches to interdisciplinary care are unable to provide adequate monitoring of patients' health. Passive in-home sensor systems enable 24×7 health monitoring.
View Article and Find Full Text PDFJMIR Med Inform
March 2025
Center for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs vej 249, Aalborg, 9260 Gistrup, Denmark, 45 29807944.
Background: Artificial intelligence (AI) has been deemed revolutionary in medicine; however, no AI tools have been implemented or validated in Danish general practice. General practice in Denmark has an excellent digitization system for developing and using AI. Nevertheless, there is a lack of involvement of general practitioners (GPs) in developing AI.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!