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Beyond Decision Making: Considering Collaboration and Agency in the Design of AI-Based Decision-Support Systems for Fast-Response Medical Teams
Journal article   Open access   Peer reviewed

Beyond Decision Making: Considering Collaboration and Agency in the Design of AI-Based Decision-Support Systems for Fast-Response Medical Teams

Angela Mastrianni, Paige Kmetz-Cutrone, Kathryn Chang, Jonathan Y Stein and Aleksandra Sarcevic
Proceedings of the ACM on human-computer interaction, v 9(7), pp 1-28
16 Oct 2025
url
https://doi.org/10.1145/3757457View
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2025CC BY V4.0 Open

Abstract

Empirical studies in HCI Human computer interaction (HCI) Human-centered computing
In addition to aiding decision making, AI-based clinical decision-support systems may need to consider and support provider agency and collaboration between medical providers. We analyzed collaboration and agency within fast-response teams, identifying implications for designing decision-support systems that not only facilitate decision making, but also collaboration and agency. Using an Actor-Network Theory approach, we reviewed videos of 12 pediatric trauma resuscitations and conducted a secondary analysis of 27 interviews with trauma team members. We identified actants in trauma resuscitation, shifts in agency that can occur within fast-response teams during medical emergencies, and factors considered by providers when envisioning the design of decision-support systems. From our analysis, we propose implications for existing human-AI interaction guidelines when designing AI systems for fast-response medical teams. We also highlight parallels between the introduction of clinical practice guidelines and the introduction of AI-based decision-support systems, suggesting that these systems may influence the training and ''clinical gaze'' of providers.

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Web of Science research areas
Computer Science, Cybernetics
Computer Science, Information Systems
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