Infobuttons for Genomic Medicine: Requirements and Barriers

Luke V. Rasmussen; John J. Connolly; Guilherme Del Fiol; Robert R. Freimuth; Douglas B. Pet; Josh F. Peterson; Brian H. Shirts; Justin B. Starren; Marc S. Williams; Nephi Walton; Casey Overby Taylor

doi:10.1055/s-0041-1729164

Applied Clinical Informatics, Table of Contents

Appl Clin Inform 2021; 12(02): 383-390
DOI: 10.1055/s-0041-1729164

Research Article

Infobuttons for Genomic Medicine: Requirements and Barriers

Luke V. Rasmussen

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

,

John J. Connolly

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

,

Guilherme Del Fiol

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

,

Robert R. Freimuth

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

,

Douglas B. Pet

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

,

Josh F. Peterson

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

,

Brian H. Shirts

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

,

Justin B. Starren

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

,

Marc S. Williams

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

,

Nephi Walton

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

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

,

Casey Overby Taylor

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

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

› Author Affiliations

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.

Keywords

facilitators and barriers - clinical decision support - genetics - infobuttons - open source

Full Text

References

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