@inproceedings{wolf2025clinical,
 abstract = {Recent advancements in artificial intelligence have sparked discussions on how clinical decision-making can be supported. New clinical decision support systems (CDSSs) have been developed and evaluated through workshops and interviews. However, limited research exists on how CDSSs affect decision-making as it unfolds, particularly in settings such as acute care, where decisions are made collaboratively under time pressure and uncertainty. Using a mixed-method study, we explored the impact of a CDSS on decision-making in anesthetic teams during simulated operating room crises. Fourteen anesthetic teams participated in high-fidelity simulations, half using a CDSS prototype for comparative analysis. Qualitative findings from conversation analysis and quantitative results on decision-making efficiency and workload revealed that the CDSS changed team structure, communication, and diagnostic processes. It homogenized decision-making, empowered nursing staff, and introduced friction between analytical and intuitive thinking. We discuss whether these changes are beneficial or detrimental and offer insights to guide future CDSS design.},
 added-at = {2025-04-28T22:03:12.000+0200},
 address = {New York, NY, USA},
 articleno = {257},
 author = {Wolf, Sara and Grundgeiger, Tobias and Zähringer, Raphael and Shishkova, Lora and Maas, Franzisca and Dilling, Christina and Happel, Oliver},
 biburl = {https://www.bibsonomy.org/bibtex/25593101c17855e1a3982cf353e89f160/wolfssara},
 booktitle = {Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems},
 doi = {10.1145/3706598.3713372},
 interhash = {a499a8570857e51fffc4552177bb5b4c},
 intrahash = {5593101c17855e1a3982cf353e89f160},
 isbn = {9798400713941},
 keywords = {myown},
 numpages = {23},
 publisher = {Association for Computing Machinery},
 series = {CHI '25},
 timestamp = {2025-04-28T22:03:12.000+0200},
 title = {How a Clinical Decision Support System Changed the Diagnosis Process: Insights from an Experimental Mixed-Method Study in a Full-Scale Anesthesiology Simulation},
 year = {2025}
}