Experience Matters: Design and Evaluation of an Anesthesia Support Tool Guided by User Experience Theory
Authors
Despite many advances, clinical decision support tools (DSTs) often suffer from implementation and acceptance problems in the actual clinical context. We suggest that considering psychological needs-based and embodied user experience theories in the design of DSTs could help to overcome these problems. To examine this idea, we iteratively developed a DST called Cassandra supporting anesthetic teams in crisis management, specifically focusing on psychological needs and fluent interaction with the social and physical environment. We preliminarily evaluated Cassandra in a medical simulation, requiring anesthetic teams to handle a crisis. Although not all features of Cassandra had the intended effect, the results indicated that interacting with Cassandra supported the fulfillment of the identified needs for autonomy, competence, and relatedness and was seamlessly integrated into existing diagnostic processes. Considering user experience theories for the design of DSTs seems a promising way to overcome implementation and acceptance problems and eventually improve patient safety.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
How a Clinical Decision Support System Changed the Diagnosis Process: Insights from an Experimental Mixed-Method Study in a Full-Scale Anesthesiology Simulation
CHI '25· EV Charging & Eco-Driving Interfaces +1
- 60%
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
CHI '20· EV Charging & Eco-Driving Interfaces +2
- 60%
"You Have to Piece the Puzzle Together" – Implications for Designing Decision Support in Intensive Care
DIS '20· AI-Assisted Decision-Making & Automation +1
Based on Jaccard similarity of research subtopics & professions (≥60%)