Journal
34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016
Volume -, Issue -, Pages 4477-4488Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2858036.2858373
Keywords
Clinical Decision Support Systems; Decision Support Tools; Field Study; Qualitative Methods; Service Design
Categories
Funding
- NHLBI NIH HHS [T32 HL076124, R01 HL122639] Funding Source: Medline
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Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of these systems. This paper describes a field study investigating how clinicians make a heart pump implant decision with a focus on how to best integrate an intelligent DST into their work process. Our findings reveal a lack of perceived need for and trust of machine intelligence, as well as many barriers to computer use at the point of clinical decision-making. These findings suggest an alternative perspective to the traditional use models, in which clinicians engage with DSTs at the point of making a decision. We identify situations across patients' healthcare trajectories when decision supports would help, and we discuss new forms it might take in these situations.
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