The repair of speech act misunderstandings by abductive inference
Computational Linguistics
Design guidelines for dealing with breakdowns and repairs in collaborative work settings
International Journal of Human-Computer Studies - Understanding work and designing artefacts
Conversation as Action Under Uncertainty
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
The use of receiver operating characteristic curves in biomedical informatics
Journal of Biomedical Informatics - Special issue: Clinical machine learning
Trajectories in Multiple Group Coordination: A Field Study of Hospital Operating Suites
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Regularly irregular: how groups reconcile cross-cutting agendas and demand in healthcare
Cognition, Technology and Work
Breaks in Continuity of Surgical Care: Considerations for eHealth Systems Design
ETELEMED '09 Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine
I just don't know why it's gone: maintaining informal information use in inpatient care
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Coordination breakdowns in clinical work are a common concern for patient safety. To design technology that facilitates coordination and prevents breakdowns, we need to be able to reliably detect them and analyze their impact in daily work. A breakdown detection method is proposed as a useful approach to the management of breakdowns in inter-team coordination within the context of the daily operations of surgical units. By mapping information flow expectations for various information needs in clinical work -- such as patient status information flow, schedule status information flow, staffing coordination information flow, etc. -- an analyst can derive a set of predictions that serves as input to the algorithm for detecting the breakdowns. The method was verified over data from three sets of observational studies in two different hospitals. Performance analysis demonstrates excellent detection rate. The method can be utilized to assess the amount of breakdowns for different types of breakdowns, before and after technology implementation.