Using multi-perspective methodologies to study users' interactions with the prototype front end of a guideline-based decision support system for diabetic foot care

Mor Peleg, Aviv Shachak, Dongwen Wang, Eddy Karnieli

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Purpose: Clinical practice guidelines are important instruments for improving the quality of care; in paper form, however, they are not used as effectively as possible. In order to develop a guideline-based decision support system (DSS) prototype to help clinicians deal with diabetic patients' foot problems, we drew on methodologies from qualitative research, cognitive science, and information systems. This multi-perspective approach was intended to facilitate user-centered design and evaluation. Methods: We employed field observations, structured interviews, and document analyses to collect and analyze users' workflow patterns, decision support goals, and preferences regarding interactions with a DSS. Next, we aligned their requirements with sequence diagrams and followed Nielsen's heuristics to develop a DSS prototype. We then performed think-aloud analyses and used the technology acceptance model to direct our evaluation of users' perceptions of the prototype. Results: Users had a positive response to the DSS prototype in terms of its clarity of design and ease of use. They expressed a high intention of using the system in the future. Conclusion: Applying multi-perspective methodologies is an effective way to study and design user interactions with the front end of a guideline-based DSS.

Original languageEnglish (US)
Pages (from-to)482-493
Number of pages12
JournalInternational Journal of Medical Informatics
Volume78
Issue number7
DOIs
StatePublished - Jul 2009
Externally publishedYes

Fingerprint

Diabetic Foot
Guidelines
Cognitive Science
Workflow
Qualitative Research
Quality of Health Care
Practice Guidelines
Information Systems
Interviews
Technology
Heuristics

Keywords

  • Clinical decision support systems
  • Clinical practice guidelines
  • Sequence diagrams
  • Technology acceptance
  • Usability heuristics

ASJC Scopus subject areas

  • Health Informatics

Cite this

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