@Article{info:doi/10.2196/59217,
author="Mandel, Hannah L
and Shah, Shruti N
and Bailey, L Charles
and Carton, Thomas
and Chen, Yu
and Esquenazi-Karonika, Shari
and Haendel, Melissa
and Hornig, Mady
and Kaushal, Rainu
and Oliveira, Carlos R
and Perlowski, Alice A
and Pfaff, Emily
and Rao, Suchitra
and Razzaghi, Hanieh
and Seibert, Elle
and Thomas, Gelise L
and Weiner, Mark G
and Thorpe, Lorna E
and Divers, Jasmin",
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",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="5",
volume="27",
pages="e59217",
keywords="COVID-19; SARS-CoV-2; Long COVID, post-acute COVID-19 syndrome; electronic health records; machine learning; public health surveillance; post-infection syndrome; medical informatics; electronic medical record; electronic health record network; electronic health record data; clinical research network; clinical data research network; common data model; digital health; infection; respiratory; infectious; epidemiological; pandemic",
issn="1438-8871",
doi="10.2196/59217",
url="https://www.jmir.org/2025/1/e59217",
url="https://doi.org/10.2196/59217",
url="http://www.ncbi.nlm.nih.gov/pubmed/40053748"
}