Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative

RECOVER EHR Cohort

doi:10.2196/59217

Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative

RECOVER EHR Cohort

Urban Initiative

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English (US)
Article number	e59217
Journal	Journal of medical Internet research
Volume	27
DOIs	https://doi.org/10.2196/59217
State	Published - 2025

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

ASJC Scopus subject areas

Health Informatics

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10.2196/59217

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@article{47192a2d6c6648ccaeb0820e91b43977,

title = "Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative",

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.",

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",

author = "{RECOVER EHR Cohort} and Mandel, {Hannah L.} and Shah, {Shruti N.} and Bailey, {L. Charles} and Thomas Carton and Yu Chen and Shari Esquenazi-Karonika and Melissa Haendel and Mady Hornig and Rainu Kaushal and Oliveira, {Carlos R.} and Perlowski, {Alice A.} and Emily Pfaff and Suchitra Rao and Hanieh Razzaghi and Elle Seibert and Thomas, {Gelise L.} and Weiner, {Mark G.} and Thorpe, {Lorna E.} and Jasmin Divers",

note = "Publisher Copyright: {\textcopyright}Hannah L Mandel, Shruti N Shah, L Charles Bailey, Thomas Carton, Yu Chen, Shari Esquenazi-Karonika, Melissa Haendel, Mady Hornig, Rainu Kaushal, Carlos R Oliveira, Alice A Perlowski, Emily Pfaff, Suchitra Rao, Hanieh Razzaghi, Elle Seibert, Gelise L Thomas, Mark G Weiner, Lorna E Thorpe, Jasmin Divers, RECOVER EHR Cohort. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 05.03.2025.",

year = "2025",

doi = "10.2196/59217",

language = "English (US)",

volume = "27",

journal = "Journal of medical Internet research",

issn = "1439-4456",

publisher = "JMIR Publications Inc.",

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TY - JOUR

T1 - Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection

T2 - Insights From the NIH RECOVER Initiative

AU - RECOVER EHR Cohort

AU - Mandel, Hannah L.

AU - Shah, Shruti N.

AU - Bailey, L. Charles

AU - Carton, Thomas

AU - Chen, Yu

AU - Esquenazi-Karonika, Shari

AU - Haendel, Melissa

AU - Hornig, Mady

AU - Kaushal, Rainu

AU - Oliveira, Carlos R.

AU - Perlowski, Alice A.

AU - Pfaff, Emily

AU - Rao, Suchitra

AU - Razzaghi, Hanieh

AU - Seibert, Elle

AU - Thomas, Gelise L.

AU - Weiner, Mark G.

AU - Thorpe, Lorna E.

AU - Divers, Jasmin

N1 - Publisher Copyright: ©Hannah L Mandel, Shruti N Shah, L Charles Bailey, Thomas Carton, Yu Chen, Shari Esquenazi-Karonika, Melissa Haendel, Mady Hornig, Rainu Kaushal, Carlos R Oliveira, Alice A Perlowski, Emily Pfaff, Suchitra Rao, Hanieh Razzaghi, Elle Seibert, Gelise L Thomas, Mark G Weiner, Lorna E Thorpe, Jasmin Divers, RECOVER EHR Cohort. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 05.03.2025.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - COVID-19

KW - Long COVID, post-acute COVID-19 syndrome

KW - SARS-CoV-2

KW - clinical data research network

KW - clinical research network

KW - common data model

KW - digital health

KW - electronic health record data

KW - electronic health record network

KW - electronic health records

KW - electronic medical record

KW - epidemiological

KW - infection

KW - infectious

KW - machine learning

KW - medical informatics

KW - pandemic

KW - post-infection syndrome

KW - public health surveillance

KW - respiratory

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UR - http://www.scopus.com/inward/citedby.url?scp=86000143085&partnerID=8YFLogxK

U2 - 10.2196/59217

DO - 10.2196/59217

M3 - Review article

C2 - 40053748

AN - SCOPUS:86000143085

SN - 1439-4456

VL - 27

JO - Journal of medical Internet research

JF - Journal of medical Internet research

M1 - e59217

ER -

Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative

Abstract

Keywords

ASJC Scopus subject areas

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