biostudies-literatureKhera RNational Center for Advancing Translational SciencesNCATS NIH HHSNational Institute of AgingNIA NIH HHSNIAID NIH HHSInstitute of Translational Health SciencesDermTechNIMH NIH HHSNHLBI NIH HHSNational Heart, Lung, and Blood InstituteSiemens Healthcare DiagnosticsNational Institutes of HealthNational Center of Immunization and Respiratory DiseasesCenters for Disease Control and PreventionDoris Duke Charitable FoundationUniversity of WashingtonMeMedPrenosisAbbott DiagnosticsNIH HHSCDC HHS784-794https://www.ebi.ac.uk/biostudies/studies/S-EPMC12012333biostudies-literatureUnknown32(5)<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 KappaJournal of the American Medical Informatics Association : JAMIAAssessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study.PMC1201233375D30120C08008R01AG089981R01AI166967R01MH130216K23 HL153775UL1 TR0023191R01AI166967R01 AG089981R01 MH1302162022060R01 AI166967UL1TR002319U01CK00048R01HL167858K23HL153775Pierce SChandler CAhmed ZMontoy JCCGomez CLin ZKane AIdris AHLyon VChan VSalah WElmore JGWeinstein RAUlrich APedroso AFPlumb IDJerger REguchi MGentile NSchaeffer KSchiffgens MCoppi AKean EVenkatesh AHall AJGatling KDerden ARising KLMalone KMontoy JCYu HKaadan AMWang RCMartin KRWong ASpatz ESBriggs-Hagen MGuzman DStephens KAKelly MChang GCheng DRoldan KDAdams KMoreno RSaydah SINSPIRE GroupKlabbers RESantangelo MCharlton AGrau DWisk LEGallegos DKoo KKhera RMaat ZMalicki CSapp SRuiz LMcDonald SLi SXNichol GPark JGottlieb MWillis MHill MJGeyer REWarner FYang ZChavez CLSawano MShughart LPuente XMorse DLiu MShughart HRenzi NKemball RChang AMMiao JAmadio GNikonowicz PRising KHannikainen PArreguin MO'Laughlin KNHassaballa MRodriguez RKinsman JWatts PStober TMannan IEDorney JSite RHL'Hommedieu MAnderson JZhang ZShutty CfalseAssessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study.<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 Kappa2025-01-01T00:00:00Z2025 May2026-07-16T22:05:18.432Z2026-07-11T03:12:02.71ZS-EPMC120123334003655110.1093/jamia/ocaf027