research-article

Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients

Authors:

Robert N. Riter,

Saleh KalantariAuthors Info & Claims

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Article No.: 437, Pages 1 - 20

https://doi.org/10.1145/3613904.3642353

Published: 11 May 2024 Publication History

Abstract

Shared decision making (SDM) plays a vital role in clinical practice guidelines, fostering enduring therapeutic communication and patient-clinician relationships. Previous research indicates that active patient participation in decision-making improves satisfaction and treatment outcomes. However, medical decision-making can be intricate and multifaceted. To help make SDM more accessible, we designed a patient-centered Artificial Intelligence (AI) SDM system for older adult cancer patients who lack high health literacy to become more involved in the clinical decision-making process and to improve comprehension toward treatment outcomes. We conducted a pilot feasibility study through 12 preliminary interviews followed by 25 usability testing interviews after the system development, with older adult cancer survivors and clinicians. Results indicated promise in the AI system’s ability to enhance SDM, providing personalized healthcare experiences and education for cancer patients. Clinician responses also provided useful suggestions for SDM’s new design and research opportunities in mitigating medical errors and improving clinical efficiency.

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Cited By

Obimba DEsteva CNzouatcham Tsicheu EWong R(2024)Effectiveness of Artificial Intelligence Technologies in Cancer Treatment for Older Adults: A Systematic ReviewJournal of Clinical Medicine10.3390/jcm1317497913:17(4979)Online publication date: 23-Aug-2024
https://doi.org/10.3390/jcm13174979
Islam FMayeesha TAhmed NKostakos VKay JHoang T(2024)Know Your Users: Towards Explainable AI in BangladeshCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3679002(890-893)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3679002

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CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

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Obimba DEsteva CNzouatcham Tsicheu EWong R(2024)Effectiveness of Artificial Intelligence Technologies in Cancer Treatment for Older Adults: A Systematic ReviewJournal of Clinical Medicine10.3390/jcm1317497913:17(4979)Online publication date: 23-Aug-2024
https://doi.org/10.3390/jcm13174979
Islam FMayeesha TAhmed NKostakos VKay JHoang T(2024)Know Your Users: Towards Explainable AI in BangladeshCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3679002(890-893)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3679002

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