{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Khera R"],"funding":["National Center for Advancing Translational Sciences","NCATS NIH HHS","National Institute of Aging","NIA NIH HHS","NIAID NIH HHS","Institute of Translational Health Sciences","DermTech","NIMH NIH HHS","NHLBI NIH HHS","National Heart, Lung, and Blood Institute","Siemens Healthcare Diagnostics","National Institutes of Health","National Center of Immunization and Respiratory Diseases","Centers for Disease Control and Prevention","Doris Duke Charitable Foundation","University of Washington","MeMed","Prenosis","Abbott Diagnostics","NIH HHS","CDC HHS"],"pagination":["784-794"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12012333"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["32(5)"],"pubmed_abstract":["<h4>Objectives</h4>Direct electronic access to multiple electronic health record (EHR) systems through patient portals offers a novel avenue for decentralized research. Given the critical value of patient characterization, we sought to compare computable evaluation of health conditions from patient-portal EHR against the traditional self-report.<h4>Materials and methods</h4>In the nationwide Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE) study, which linked self-reported questionnaires with multiplatform patient-portal EHR data, we compared self-reported health conditions across different clinical domains against computable definitions based on diagnosis codes, medications, vital signs, and laboratory testing. We assessed their concordance using Cohen's Kappa"],"journal":["Journal of the American Medical Informatics Association : JAMIA"],"pubmed_title":["Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study."],"pmcid":["PMC12012333"],"funding_grant_id":["75D30120C08008","R01AG089981","R01AI166967","R01MH130216","K23 HL153775","UL1 TR002319","1R01AI166967","R01 AG089981","R01 MH130216","2022060","R01 AI166967","UL1TR002319","U01CK00048","R01HL167858","K23HL153775"],"pubmed_authors":["Pierce S","Chandler C","Ahmed Z","Montoy JCC","Gomez C","Lin Z","Kane A","Idris AH","Lyon V","Chan V","Salah W","Elmore JG","Weinstein RA","Ulrich A","Pedroso AF","Plumb ID","Jerger R","Eguchi M","Gentile N","Schaeffer K","Schiffgens M","Coppi A","Kean E","Venkatesh A","Hall AJ","Gatling K","Derden A","Rising KL","Malone K","Montoy JC","Yu H","Kaadan AM","Wang RC","Martin KR","Wong A","Spatz ES","Briggs-Hagen M","Guzman D","Stephens KA","Kelly M","Chang G","Cheng D","Roldan KD","Adams K","Moreno R","Saydah S","INSPIRE Group","Klabbers RE","Santangelo M","Charlton A","Grau D","Wisk LE","Gallegos D","Koo K","Khera R","Maat Z","Malicki C","Sapp S","Ruiz L","McDonald S","Li SX","Nichol G","Park J","Gottlieb M","Willis M","Hill MJ","Geyer RE","Warner F","Yang Z","Chavez CL","Sawano M","Shughart L","Puente X","Morse D","Liu M","Shughart H","Renzi N","Kemball R","Chang AM","Miao J","Amadio G","Nikonowicz P","Rising K","Hannikainen P","Arreguin M","O'Laughlin KN","Hassaballa M","Rodriguez R","Kinsman J","Watts P","Stober T","Mannan IE","Dorney J","Site RH","L'Hommedieu M","Anderson J","Zhang Z","Shutty C"],"additional_accession":[]},"is_claimable":false,"name":"Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study.","description":"<h4>Objectives</h4>Direct electronic access to multiple electronic health record (EHR) systems through patient portals offers a novel avenue for decentralized research. Given the critical value of patient characterization, we sought to compare computable evaluation of health conditions from patient-portal EHR against the traditional self-report.<h4>Materials and methods</h4>In the nationwide Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE) study, which linked self-reported questionnaires with multiplatform patient-portal EHR data, we compared self-reported health conditions across different clinical domains against computable definitions based on diagnosis codes, medications, vital signs, and laboratory testing. We assessed their concordance using Cohen's Kappa","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 May","modification":"2026-07-16T22:05:18.432Z","creation":"2026-07-11T03:12:02.71Z"},"accession":"S-EPMC12012333","cross_references":{"pubmed":["40036551"],"doi":["10.1093/jamia/ocaf027"]}}