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Physicians' expectations of future clinical decision support systems: Exploring the expected user experience of physicians in interaction with future decision support systems: Qualitative study.
Halmstad University, School of Information Technology.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Research has focused heavily on the study of Clinical Decision Support Systems. However, CDS systems have generally had little impact on clinical practice. One of the most important reasons is the lack of human-computer interaction (HCI) considerations in designing these systems. Although physicians play an essential role in healthcare decision-making, there is little literature describing physicians' expectations and preferences prior to the development of these systems, which is an essential phase in user-centered design.This study aims to answer the following research question: What do physicians expect of interacting with future clinical decision support systems? An exploratory qualitative study was conducted, and data were collected by interviewing 9 physicians practicing in Sweden. A thematic analysis was used for data analysis, and the findings are four themes: 1) physicians' Expectations related to clinical practice; 2) physicians' expectations related to physician-patient relationship; 3) physicians' expectations related to the physician's role 4) physicians' expectations related to CDS governance.The research findings contribute to the knowledge of Anticipated UX in the context of healthcare and CDS systems. The empirical findings on potential user expectations are valuable for understanding the diversity of user experience and user expectations as phenomena in the specific domain of CDS systems. Service designers can utilize and build on the empirical findings to develop positive user experiences of future CDS systems

Place, publisher, year, edition, pages
2022. , p. 28
Keywords [en]
Clinical decision support systems, physicians, User-centred design, user expectations, Anticipated user experience, qualitative study, expected experiences, system attributes
National Category
Other Engineering and Technologies Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hh:diva-47615OAI: oai:DiVA.org:hh-47615DiVA, id: diva2:1683751
Subject / course
Informatics
Educational program
Master's Programme (120 credits) in Digital Service Innovation, 120 credits
Supervisors
Examiners
Available from: 2022-06-02 Created: 2022-07-18 Last updated: 2025-10-01Bibliographically approved

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fulltext(490 kB)389 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf