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The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics. [Review]

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Citation: International Journal of Medical Informatics. 117:19-25, 2018 09.PMID: 30032961Institution: MedStar Heart & Vascular Institute | MedStar Institute for InnovationDepartment: National Center for Human Factors in HealthcareForm of publication: Journal ArticleMedline article type(s): Journal Article | ReviewSubject headings: *Decision Making | *Decision Support Systems, Clinical | *Heuristics | Humans | Research | User-Computer InterfaceYear: 2018 ISSN:

1386-5056

Name of journal: International journal of medical informaticsAbstract: CONCLUSION: Results from this review suggest that interaction design principles were not fully satisfied by the current literature of clinical decision support.Copyright (c) 2018 Elsevier B.V. All rights reserved.DISCUSSION: Clinical decision support has enabled clinicians to better address arising information needs; however there remains a lack of evidence-based guidelines in terms of functional and design requirements.MAIN FINDINGS: We matched 20 out of 42 recommendations to heuristics. The mapping reveals gaps in both heuristics and recommendations, identifying a set of Nielsen's heuristics that are underrepresented in the literature and subsets of recommendations important to design not covered in Nielsen's heuristics. We attributed this, in part, to the evolution of technology since the inception of Nielsen's heuristics. The team created a new interaction heuristic: Integration into real-time workflow to consider the needs of the end-user in the clinical space.MATERIALS AND METHODS: Using a modified nominal group process, the research team discussed, classified, and mapped recommendations, organized as interface, information, and interaction, to design heuristics. A previous narrative review identified 42 recommendations from the literature to define the design and functional characteristics that impact the performance of CDS in terms of provider preference, process of care, and patient outcomes.OBJECTIVE: While general design heuristics exist for graphic user interfaces, it remains a challenge to facilitate the implementation of these heuristics for the design of clinical decision support. Our goals were to map a set of recommendations for clinical decision support design found in current literature to Jakob Nielsen's traditional usability heuristics and to suggest usability areas that need more investigation.All authors: Arnold R, Capan M, Kowalski R, Kraft R, Miller K, Noaiseh Y, Schwartz S, Weintraub WS, Weldon DFiscal year: FY2019Digital Object Identifier:

https://dx.doi.org/10.1016/j.ijmedinf.2018.05.008

Date added to catalog: 2018-07-30

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Title notes ( 7 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Journal Article	MedStar Authors Catalog	Article	30032961	Available		30032961

CONCLUSION: Results from this review suggest that interaction design principles were not fully satisfied by the current literature of clinical decision support.

DISCUSSION: Clinical decision support has enabled clinicians to better address arising information needs; however there remains a lack of evidence-based guidelines in terms of functional and design requirements.

MAIN FINDINGS: We matched 20 out of 42 recommendations to heuristics. The mapping reveals gaps in both heuristics and recommendations, identifying a set of Nielsen's heuristics that are underrepresented in the literature and subsets of recommendations important to design not covered in Nielsen's heuristics. We attributed this, in part, to the evolution of technology since the inception of Nielsen's heuristics. The team created a new interaction heuristic: Integration into real-time workflow to consider the needs of the end-user in the clinical space.

MATERIALS AND METHODS: Using a modified nominal group process, the research team discussed, classified, and mapped recommendations, organized as interface, information, and interaction, to design heuristics. A previous narrative review identified 42 recommendations from the literature to define the design and functional characteristics that impact the performance of CDS in terms of provider preference, process of care, and patient outcomes.

OBJECTIVE: While general design heuristics exist for graphic user interfaces, it remains a challenge to facilitate the implementation of these heuristics for the design of clinical decision support. Our goals were to map a set of recommendations for clinical decision support design found in current literature to Jakob Nielsen's traditional usability heuristics and to suggest usability areas that need more investigation.

English