The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals

Yuexing Hao; Corinna E. Löeckenhoff; Harry Lee; Jessica Zwerling; Saleh Kalantari

doi:10.1145/3678884.3681841

The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals

Yuexing Hao
, Corinna E. Löeckenhoff
, Harry Lee
, Jessica Zwerling
, Saleh Kalantari

Neurology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Every patient deserves the opportunity to participate in a shared decision-making (SDM) process when deciding on their medical treatment. However, many cancer patients are not afforded this opportunity, due to barriers such as limited health literacy and lack of access to clinical resources, especially among low-income, rural, and minoritized populations. This prompts a difficult question: Can technologies such as AI serve as useful tools to assist clinicians and patients in their discussions about treatment options? In this paper, we report a needs-assessment and co-development study involving six medical professionals who were engaged in providing cancer care. Our goal was to establish the conceptual groundwork for developing i-SDM-an AI-based application aimed at fostering more equitable, scalable, and accessible SDM processes. The findings help to clarify the contours of emerging opportunities and challenges for AI integrations in clinical SDM with the goal of improving patient engagement, knowledge, and buy-in for treatment decisions.

Original language	English (US)
Title of host publication	CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing
Editors	Michael Bernstein, Amy Bruckman, Ujwal Gadiraju, Aaron Halfaker, Xiaojuan Ma, Fabiano Pinatti, Miriam Redi, David Ribes, Saiph Savage, Amy Zhang
Publisher	Association for Computing Machinery
Pages	134-140
Number of pages	7
ISBN (Electronic)	9798400711145
DOIs	https://doi.org/10.1145/3678884.3681841
State	Published - Nov 13 2024
Event	27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024 - Hybrid, San Jose, Costa Rica Duration: Nov 9 2024 → Nov 13 2024

Publication series

Name	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference	27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024
Country/Territory	Costa Rica
City	Hybrid, San Jose
Period	11/9/24 → 11/13/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

artificial intelligence
cancer treatment
shared decision-making

ASJC Scopus subject areas

Software
Computer Networks and Communications
Human-Computer Interaction

Access to Document

10.1145/3678884.3681841

Cite this

Hao, Y., Löeckenhoff, C. E., Lee, H., Zwerling, J., & Kalantari, S. (2024). The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals. In M. Bernstein, A. Bruckman, U. Gadiraju, A. Halfaker, X. Ma, F. Pinatti, M. Redi, D. Ribes, S. Savage, & A. Zhang (Eds.), CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing (pp. 134-140). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). Association for Computing Machinery. https://doi.org/10.1145/3678884.3681841

The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals. / Hao, Yuexing; Löeckenhoff, Corinna E.; Lee, Harry et al.
CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing. ed. / Michael Bernstein; Amy Bruckman; Ujwal Gadiraju; Aaron Halfaker; Xiaojuan Ma; Fabiano Pinatti; Miriam Redi; David Ribes; Saiph Savage; Amy Zhang. Association for Computing Machinery, 2024. p. 134-140 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hao, Y, Löeckenhoff, CE, Lee, H, Zwerling, J & Kalantari, S 2024, The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals. in M Bernstein, A Bruckman, U Gadiraju, A Halfaker, X Ma, F Pinatti, M Redi, D Ribes, S Savage & A Zhang (eds), CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, Association for Computing Machinery, pp. 134-140, 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024, Hybrid, San Jose, Costa Rica, 11/9/24. https://doi.org/10.1145/3678884.3681841

Hao Y, Löeckenhoff CE, Lee H, Zwerling J, Kalantari S. The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals. In Bernstein M, Bruckman A, Gadiraju U, Halfaker A, Ma X, Pinatti F, Redi M, Ribes D, Savage S, Zhang A, editors, CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing. Association for Computing Machinery. 2024. p. 134-140. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). doi: 10.1145/3678884.3681841

Hao, Yuexing ; Löeckenhoff, Corinna E. ; Lee, Harry et al. / The i-SDM Framework : Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals. CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing. editor / Michael Bernstein ; Amy Bruckman ; Ujwal Gadiraju ; Aaron Halfaker ; Xiaojuan Ma ; Fabiano Pinatti ; Miriam Redi ; David Ribes ; Saiph Savage ; Amy Zhang. Association for Computing Machinery, 2024. pp. 134-140 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

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The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this