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Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

Authors:

John Zimmerman,

Aaron Steinfeld,

James F. AntakiAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 4477 - 4488

https://doi.org/10.1145/2858036.2858373

Published: 07 May 2016 Publication History

Abstract

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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Mooghali MStroud AYoo DBarry BGrimshaw ARoss JZhu XMiller J(2024)Trustworthy and ethical AI-enabled cardiovascular care: a rapid reviewBMC Medical Informatics and Decision Making10.1186/s12911-024-02653-624:1Online publication date: 4-Sep-2024
https://doi.org/10.1186/s12911-024-02653-6
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Zając HRibeiro JIngala SGentile SWanjohi RGitau SCarlsen JNielsen MAndersen T(2024)"It depends": Configuring AI to Improve Clinical Usefulness Across ContextsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660707(874-889)Online publication date: 1-Jul-2024
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Index Terms

Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help
1. Information systems
  1. Information systems applications

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 May 2016

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May 7 - 12, 2016

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Mooghali MStroud AYoo DBarry BGrimshaw ARoss JZhu XMiller J(2024)Trustworthy and ethical AI-enabled cardiovascular care: a rapid reviewBMC Medical Informatics and Decision Making10.1186/s12911-024-02653-624:1Online publication date: 4-Sep-2024
https://doi.org/10.1186/s12911-024-02653-6
Zhang ZFeger SDullenkopf LLiao RSüsslin LLiu YButz A(2024)Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making ProcessProceedings of the ACM on Human-Computer Interaction10.1145/36870248:CSCW2(1-32)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687024
Zając HRibeiro JIngala SGentile SWanjohi RGitau SCarlsen JNielsen MAndersen T(2024)"It depends": Configuring AI to Improve Clinical Usefulness Across ContextsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660707(874-889)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660707
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Carmichael J(2024)Translating Human-Centred Artificial Intelligence for Clinical Decision Support Systems into Practice: A Medical Retina Case Study.Extended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3638182(1-5)Online publication date: 11-May-2024
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