Document Type
Article
Publication Date
5-1-2021
Publication Title
BMJ Health Care Inform
Keywords
JGM, Decision Support Systems, Clinical, Electronic Health Records, Genomics, Humans, Natural Language Processing, Terminology as Topic, Time Factors, User-Centered Design
JAX Source
BMJ Health Care Inform 2021 May; 28(1):e100331
Volume
28
Issue
1
ISSN
2632-1009
PMID
33962988
DOI
https://doi.org/10.1136/bmjhci-2021-100331
Abstract
OBJECTIVES: There is a need in clinical genomics for systems that assist in clinical diagnosis, analysis of genomic information and periodic reanalysis of results, and can use information from the electronic health record to do so. Such systems should be built using the concepts of human-centred design, fit within clinical workflows and provide solutions to priority problems.
METHODS: We adapted a commercially available diagnostic decision support system (DDSS) to use extracted findings from a patient record and combine them with genomic variant information in the DDSS interface. Three representative patient cases were created in a simulated clinical environment for user testing. A semistructured interview guide was created to illuminate factors relevant to human factors in CDS design and organisational implementation.
RESULTS: Six individuals completed the user testing process. Tester responses were positive and noted good fit with real-world clinical genetics workflow. Technical issues related to interface, interaction and design were minor and fixable. Testers suggested solving issues related to terminology and usability through training and infobuttons. Time savings was estimated at 30%-50% and additional uses such as in-house clinical variant analysis were suggested for increase fit with workflow and to further address priority problems.
CONCLUSION: This study provides preliminary evidence for usability, workflow fit, acceptability and implementation potential of a modified DDSS that includes machine-assisted chart review. Continued development and testing using principles from human-centred design and implementation science are necessary to improve technical functionality and acceptability for multiple stakeholders and organisational implementation potential to improve the genomic diagnosis process.
Recommended Citation
Kulchak Rahm A,
Walton N,
Feldman L,
Jenkins C,
Jenkins T,
Person T,
Peterson J,
Reynolds J,
Robinson P,
Woltz M,
Williams M,
Segal M.
User testing of a diagnostic decision support system with machine-assisted chart review to facilitate clinical genomic diagnosis. BMJ Health Care Inform 2021 May; 28(1):e100331
Comments
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license.