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

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.

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