Infobuttons for Genomic Medicine: Requirements and Barriers

Author:

Rasmussen Luke V.1,Connolly John J.2,Del Fiol Guilherme3,Freimuth Robert R.4,Pet Douglas B.5,Peterson Josh F.6,Shirts Brian H.7,Starren Justin B.1,Williams Marc S.8,Walton Nephi89,Taylor Casey Overby810

Affiliation:

1. Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United Sates

2. The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United Sates

3. Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United Sates

4. Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United Sates

5. Department of Neurology, University of California San Francisco, San Francisco, California, United Sates

6. Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United Sates

7. Department of Laboratory Medicine, University of Washington, Seattle, Washington, United Sates

8. Genomic Medicine Institute, Geisinger, Danville, Pennsylvania, United Sates

9. Intermountain Precision Genomics, Intermountain Healthcare, St George, Utah, United Sates

10. Department of Medicine and Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United Sates

Abstract

Abstract Objectives The study aimed to understand potential barriers to the adoption of health information technology projects that are released as free and open source software (FOSS). Methods We conducted a survey of research consortia participants engaged in genomic medicine implementation to assess perceived institutional barriers to the adoption of three systems: ClinGen electronic health record (EHR) Toolkit, DocUBuild, and MyResults.org. The survey included eight barriers from the Consolidated Framework for Implementation Research (CFIR), with additional barriers identified from a qualitative analysis of open-ended responses. Results We analyzed responses from 24 research consortia participants from 18 institutions. In total, 14 categories of perceived barriers were evaluated, which were consistent with other observed barriers to FOSS adoption. The most frequent perceived barriers included lack of adaptability of the system, lack of institutional priority to implement, lack of trialability, lack of advantage of alternative systems, and complexity. Conclusion In addition to understanding potential barriers, we recommend some strategies to address them (where possible), including considerations for genomic medicine. Overall, FOSS developers need to ensure systems are easy to trial and implement and need to clearly articulate benefits of their systems, especially when alternatives exist. Institutional champions will remain a critical component to prioritizing genomic medicine projects.

Funder

Group Health Cooperative/University of Washington

Brigham and Women's Hospital

Vanderbilt University Medical Center

Cincinnati Children's Hospital Medical Center

Mayo Clinic

Geisinger Clinic

Columbia University Health Sciences

Children's Hospital of Philadelphia

Northwestern University

Vanderbilt University Medical Center serving as the Coordinating Center

Partners Healthcare/Broad Institute

Baylor College of Medicine

Meharry Medical College

Publisher

Georg Thieme Verlag KG

Subject

Health Information Management,Computer Science Applications,Health Informatics

Reference19 articles.

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