ArticleJournal of the American Medical Informatics Association : JAMIA2022
Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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The trial behind it
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Who cites it
28 citing papers in PubMed.
- Quality of life during usual epilepsy care for anxiety or depression symptoms: Secondary patient-reported outcomes in a randomized trial of remote assessment methods.Epilepsy research · 2024Trial
- Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.JDR clinical and translational research · 2026Article
- Bioethics and medical oversight in multi-site observational neuroimaging studies with children and adolescents: 10 years of ABCD experience.Developmental cognitive neuroscience · 2026Article
- Assessing the generalizability of prevalence estimates from the All of Us Research Program.American journal of epidemiology · 2026Article
- A mixed-methods study comparing clinical and patient-reported perspectives on long COVID: insights from electronic health records and narrative journal entries.BMC infectious diseases · 2026Observational
- Discordance Between Electronic Health Records and Self-Reported Data: Evidence from Traumatic Brain Injury and Colorectal Cancer.Healthcare (Basel, Switzerland) · 2026Article
- Estimating Lung Cancer Screening Eligibility in the Veterans Health Administration Using Patient-Reported Smoking Histories.Journal of general internal medicine · 2026Article
- Analytic Choices Shape Genomic Risk Estimates from Electronic Health Records: Coronary Heart Disease in eMERGE IV.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Concordance Between Self-Report and Electronic Medical Record Diagnoses of Insomnia and Sleep Apnea: Lessons From the Airborne Hazards and Open Burn Pit Registry.Medical care · 2026Article
- Cross-sectional analysis of neighbourhood profiles and mental health conditions in the USA: insights from the All of Us Research Program.BMJ public health · 2026Article
- Comparing patient-reported symptoms and structured clinician documentation in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Prevalence of Risk Factors and Established Cardiovascular Disease Among All of Us Participants: Benchmarking Against National Estimates.medRxiv : the preprint server for health sciences · 2025Article
- Phenome-wide association study identifies multiple traits associated with a polygenic risk score for colorectal cancer.Human genomics · 2025Article
- Comparing Ancestry Standardization Approaches for a Transancestry Colorectal Cancer Polygenic Risk Score.Genetic epidemiology · 2025Article
- A comparison of family health history of breast cancer, colorectal cancer, and diabetes in self-reported survey and electronic health records data, All of Us Research Program.Genetics in medicine open · 2025Article
- Returning value to communities from the All of Us Research Program through innovative approaches for data use, analysis, dissemination, and research capacity building.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Cross-sectional survey of 43,517 dogs in the Dog Aging Project identifies owner-reported lifetime prevalence and characteristics of gastrointestinal disease.Journal of the American Veterinary Medical Association · 2024Article
- Family History of Arthritis, Osteoporosis, and Carpal Tunnel Syndrome and Risk of These Conditions Among US Adults.Arthritis care & research · 2024Article
- Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectiveA participant's medical history is important in clinical research and can be captured from electronic health records (EHRs) and self-reported surveys. Both can be incomplete, EHR due to documentation gaps or lack of interoperability and surveys due to recall bias or limited health literacy. This analysis compares medical history collected in the All of Us Research Program through both surveys and EHRs. MATERIALS AND
methodsThe All of Us medical history survey includes self-report questionnaire that asks about diagnoses to over 150 medical conditions organized into 12 disease categories. In each category, we identified the 3 most and least frequent self-reported diagnoses and retrieved their analogues from EHRs. We calculated agreement scores and extracted participant demographic characteristics for each comparison set.
resultsThe 4th All of Us dataset release includes data from 314 994 participants; 28.3% of whom completed medical history surveys, and 65.5% of whom had EHR data. Hearing and vision category within the survey had the highest number of responses, but the second lowest positive agreement with the EHR (0.21). The Infectious disease category had the lowest positive agreement (0.12). Cancer conditions had the highest positive agreement (0.45) between the 2 data sources. DISCUSSION AND
conclusionOur study quantified the agreement of medical history between 2 sources-EHRs and self-reported surveys. Conditions that are usually undocumented in EHRs had low agreement scores, demonstrating that survey data can supplement EHR data. Disagreement between EHR and survey can help identify possible missing records and guide researchers to adjust for biases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.