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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

This on-demand webinar does not offer CE credit.

Cronin RM, Halvorson AE, Springer C, et al. 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. J Am Med Inform Assoc. 2021;28(4):695-703. doi:10.1093/jamia/ocaa315.

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Robert M. Cronin, MD, MS
Associate Professor in Internal Medicine and Biomedical Informatics
Department of Medicine, The Ohio State University, Columbus, OH

Dr. Robert Cronin is an Associate Professor of Internal Medicine at The Ohio State University. He earned his BS in Computer Science at Cornell University, attended medical school at The Ohio State University, completed a combined Internal Medicine and Pediatrics residency at Vanderbilt University Medical Center, and pursued his MS in Biomedical Informatics as a National Library of Medicine fellow at Vanderbilt. Dr. Cronin is a board-certified Internist and Pediatrician and cares for adult and pediatric individuals with and without sickle cell disease. He is also a board-certified Clinical Informatician with training and experience in clinical data systems and data science. He specializes in delivering primary care to individuals with sickle cell disease. 

Dr. Cronin’s expertise includes clinical informatics, sickle cell disease, data science, and personal health informatics.  His knowledge in these areas includes patient portals, mobile health technology, electronic health records, health information needs, effective health communication, and patient engagement. He is interested in empowering individuals with healthcare and healthcare information technology disparities, evaluating and understanding the limitations of different data sources, including electronic health records, and designing and evaluating electronic surveys.

Dr. Cronin has a career development K23 grant from the National Heart, Lung, and Blood Institute (NHLBI) and is the co-PI of the data consortium for NHLBI’s Cure Sickle Cell Initiative. He is a part of the Data and Research Center for the All of Us Research Program and contributed substantially to developing and evaluating health surveys for All of Us. He has published over 40 peer-reviewed manuscripts, presented at numerous local and national conferences, and written multiple book chapters. His research interests include sickle cell disease, data science, precision medicine, electronic health records, and personal health informatics. View a list of his publications.


Hannah Burkhardt
PhD candidate
University of Washington School of Medicine
Biomedical Informatics and Medical Education


Yuqi Si
PhD Candidate
The University of Texas Health Science Center at Houston (UTHealth)

Statement of Purpose

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 is recruiting 1 million or more participants reflecting the rich diversity of the U.S. population to advance the science of precision medicine. All of Us collects family history from participants via surveys and electronic health records mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. We aimed to evaluate availability of family health history information within the publicly available data from All of Us and to characterize the data from both surveys and electronic health records.

This description of the family health history data in the publicly available All of Us registered tier database will assist future investigators in understanding All of Us data methods and provide feedback to the program on the utility of participant surveys and electronic health data. Compiling data from both surveys and electronic health records can provide a more comprehensive source for family health history when mapped to a common data model, but informatics challenges and opportunities exist.

Target Audience

The target audience for this activity is professionals and students interested in health informatics.

Learning Objectives

The general learning objective for all of the JAMIA Journal Club webinars is that participants will

  • Use a critical appraisal process to assess article validity and to gauge article findings' relevance to practice

After participating in this webinar, the listener should be able to:

  • Name the opportunities and limitations of using data from different sources (e.g., surveys, electronic health records, etc.)
  • Leverage the different data sources available to researchers in the All of Us Research Program

Commercial Support

No commercial support was received for this activity.

Disclosures for this Activity

The following presenters, planners, and staff who are in a position to control the content of this activity disclose that they and their life partners have no relevant financial relationships with commercial interests:

JAMIA Journal Club presenter: Robert M. Cronin
JAMIA Journal Club planners: Hannah Burkhardt, Kirk E. Roberts, Yuqi Si
AMIA Staff: Susanne Arnold, Pesha Rubinstein


Dates and Times: -
Type: Webinar
Course Format(s): On Demand