Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program

Author:

Cronin Robert M12ORCID,Halvorson Alese E1,Springer Cassie1,Feng Xiaoke1,Sulieman Lina1,Loperena-Cortes Roxana1,Mayo Kelsey1,Carroll Robert J1,Chen Qingxia1,Ahmedani Brian K3,Karnes Jason4,Korf Bruce5,O’Donnell Christopher J67,Qian Jun1,Ramirez Andrea H1

Affiliation:

1. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

2. Department of Medicine, The Ohio State University, Columbus, Ohio, USA

3. Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, Michigan, USA

4. Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tuscon, Arizona, USA

5. Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA

6. Department of Medicine, Veterans Administration Boston Healthcare System, Boston, Massachusetts, USA

7. Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Abstract

Abstract Objective Family health history is important to clinical care and precision medicine. Prior studies show gaps in data collected from patient surveys and electronic health records (EHRs). The All of Us Research Program collects family history from participants via surveys and EHRs. This Demonstration Project aims to evaluate availability of family health history information within the publicly available data from All of Us and to characterize the data from both sources. Materials and Methods Surveys were completed by participants on an electronic portal. EHR data was mapped to the Observational Medical Outcomes Partnership data model. We used descriptive statistics to perform exploratory analysis of the data, including evaluating a list of medically actionable genetic disorders. We performed a subanalysis on participants who had both survey and EHR data. Results There were 54 872 participants with family history data. Of those, 26% had EHR data only, 63% had survey only, and 10.5% had data from both sources. There were 35 217 participants with reported family history of a medically actionable genetic disorder (9% from EHR only, 89% from surveys, and 2% from both). In the subanalysis, we found inconsistencies between the surveys and EHRs. More details came from surveys. When both mentioned a similar disease, the source of truth was unclear. Conclusions Compiling data from both surveys and EHR can provide a more comprehensive source for family health history, but informatics challenges and opportunities exist. Access to more complete understanding of a person’s family health history may provide opportunities for precision medicine.

Funder

National Institutes of Health

Federally Qualified Health Centers

Data and Research Center

Biobank

Participant Center

Participant Technology Systems Center

Communications and Engagement

Community Partners

National Heart, Lung, and Blood Institute

National Institutes of Health Office of the Director

National Heart, Lung, And Blood Institute

NIH

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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