Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study

In this nationwide study, patient-portal-derived EHR data enabled extensive capture of patient characteristics across multiple EHR platforms, allowing better disease phenotyping compared with self-report.

Authors

Institutions

Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-02-27
DOI
https://doi.org/10.1093/jamia/ocaf027
Citations
3
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
8.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study

Kristyn Gatling, Cecilia Lara Chavez, Victoria Lyon, Chris Chandler et al.
3 citations
Journal of the American Medical Informatics Association
Electronic Health Records Systems
8.81
article

Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study

Kristyn Gatling, Cecilia Lara Chavez, Victoria Lyon, Chris Chandler, Zimo Yang, Anna Marie Chang, Jill Anderson, Erica S. Spatz, Karen Adams, Phillip B. Watts, Rohan Khera, Michael A. Gottlieb, Robin Kemball, Jessica Miao, Sharon Saydah, Carly Shutty, Arun Kane, Robert A. Weinstein, Minna Hassaballa, Shuxia Li, Kristin L. Rising, Robert M. Rodriguez, Zhenqiu Lin, Ryan Jerger, Aline F Pedroso, Katherine Martin, Sarah G. H. Sapp, Frederick Warner, Grace Amadio, Zenoura Maat, Graham Nichol, Kerry Malone, Mireya I. Arreguin, Ryan Huebinger Site, Dylan Grau, Joann G. Elmore, Mengni Liu, Tracy Stober, Megan Eguchi, Paavali Hannikainen, Kelli N. O’Laughlin, Jeremiah Kinsman, Michelle Santangelo, Nikki Gentile, Kate Diaz Roldan, Diego Cordero, Robin E. Klabbers, Alex Charlton, Melissa Briggs‐Hagen, Lauren E. Wisk, Mitsuaki Sawano, Arjun K. Venkatesh, Kari A. Stephens, Juan Carlos C. Montoy, Senyte Pierce, Jasmine Park, Raul Moreno, Michelle L’Hommedieu, Aron J. Hall, Hailey Shughart, Imtiaz Ebna Mannan, Morgan Kelly, Andreas Coppi, Zohaib Ahmed, Ian D. Plumb, Xavier Puente, Ralph C. Wang, David Cheng, Mandy J. Hill, Caitlin Malicki, Lindsey Shughart, Virginia Chan, Angela Wong, Nicole Renzi, Luis Ruiz, Antonia Derden, Ahamed H. Idris, Michael Willis, Jocelyn Dorney, Katherine Koo, Peter Nikonowicz, Rachel E Geyer, Mary Schiffgens, Huihui Yu, Samuel McDonald, Andrew Ulrich, Amro Kaadan, Gary Chang, Zihan Zhang, Dana Morse, Chloe Gomez, W. Salah, Kevin Schaeffer, David Gallegos
article en
3 citations

Abstract

In this nationwide study, patient-portal-derived EHR data enabled extensive capture of patient characteristics across multiple EHR platforms, allowing better disease phenotyping compared with self-report.

Journal of the American Medical Informatics AssociationVol. 32(5)
Rush University Medical Center (US), Centers for Disease Control and Prevention (US), Yale New Haven Hospital (US), Thomas Jefferson University (US), University of California, Los Angeles (US), University of California, San Francisco (US), National Center for Immunization and Respiratory Diseases (US), University of Washington (US), John H. Stroger, Jr. Hospital of Cook County (US), University of Washington Medical Center (US), Yale University (US), The University of Texas Southwestern Medical Center (US), The University of Texas Health Science Center at Houston (US)
Doris Duke Charitable Foundation, University of Washington, Institute of Translational Health Sciences, National Institutes of Health, Centers for Disease Control and Prevention, National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences
Openalex Percentile: Top 3%
Electronic Health Records Systems
8.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.