Abstract
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.
Author supplied keywords
- COVID-19
- Long COVID, post-acute COVID-19 syndrome
- SARS-CoV-2
- clinical data research network
- clinical research network
- common data model
- digital health
- electronic health record data
- electronic health record network
- electronic health records
- electronic medical record
- epidemiological
- infection
- infectious
- machine learning
- medical informatics
- pandemic
- post-infection syndrome
- public health surveillance
- respiratory
Cite
CITATION STYLE
Mandel, H. L., Shah, S. N., Bailey, L. C., Carton, T., Chen, Y., Esquenazi-Karonika, S., … Divers, J. (2025). Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative. Journal of Medical Internet Research. JMIR Publications Inc. https://doi.org/10.2196/59217
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