Jacobs M, He J, Pradier MF, Lam B, Ahn AC, McCoy TH, et al. Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 2021; Article No. 659:1-14. https://doi.org/10.1145/3411764.3445385
Summary: This study explores the design of decision support tools (DSTs) using AI to assist clinicians in selecting antidepressant treatments. Through an iterative, co-design process with clinicians, the research highlights the need for DSTs to integrate with the healthcare system, considering factors like clinical processes, patient preferences, and resource constraints. The study suggests that DSTs should function as multi-user systems fostering patient-provider collaboration, offering on-demand explanations that align with clinical standards. It critiques the application of current explainable AI trends in clinical settings, advocating for a more tailored approach to real-world medical systems.
