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Supporting Clinical Teams in Decision-Making: Designing and Evaluating Clinical Decision-Support Systems for Time-Critical Medical Work
Conference proceeding   Open access

Supporting Clinical Teams in Decision-Making: Designing and Evaluating Clinical Decision-Support Systems for Time-Critical Medical Work

Angela Mastrianni
Companion Publication of the 2023 ACM Designing Interactive Systems Conference, pp 32-36
10 Jul 2023
url
https://doi.org/10.1145/3563703.3593064View
Published, Version of Record (VoR) Open

Abstract

Human-centered computing -- Human computer interaction (HCI) -- Empirical studies in HCI
Clinical teams must rapidly make decisions while evaluating and treating patients during time-critical medical events. Clinical decision support systems (CDSSs) can aid in decision-making, but HCI issues have reduced their adoption and effectiveness. In my dissertation work, I will design and evaluate a CDSS to support clinicians in treating patients with life-threatening injuries during trauma resuscitation. I will examine how the CDSS can obtain the data needed to recommend interventions and communicate the recommendations to the clinical team. In my preliminary research, I examined manual and automatic approaches to capturing data needed for decision support. I also investigated the information that should be communicated to the team to support decision-making. My next steps focus on evaluating the effects of decision support on clinical decision-making. From this work, I aim to contribute a framework for designing CDSSs used during team-based, time-critical events.

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