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Medical Safety
Medical errors cause approximately 98,000 patients to die each year.
An Institute of Medicine (IOM) report suggests that the delivery of
healthcare must fundamentally change to address medical error. In particular,
it is now widely recognized that medical errors result from system
rather than individual failures, leading the IOM report to advocate
the development of healthcare systems that directly address patient
safety. In particular, the IOM report states, "what is most disturbing
is the absence of real progress… in information technology to
improve clinical processes."
To address this concern, we have begun to investigate how current
research in process definition and execution and in software verification
and analysis can be applied and extended to help reduce errors and
improve safety and efficiency in medical processes. In particular,
we are exploring how to extend some current software engineering research
techniques to define, monitor, coordinate, analyze, and improve the
safety and efficiency of medical processes. Working with experts on
medical safety and building upon our experience with process languages
and with system verification and analysis, we plan to develop visual
process representations for critical paths of care that capture, not
only the standard paths, but also describe the exceptional situations
that can arise and the inherent concurrency and multi-tasking frequently
undertaken by extremely busy healthcare providers, and to provide the
basis for careful analysis and evaluation leading to safety and efficiency
improvements
Recent Publications
A Coding Framework for Usability Evaluation of Digital Health Technologies
Mahdi Ebnali,
Lauren Kennedy-Metz,
Heather Conboy,
Lori A. Clarke,
Leon J. Osterweil,
George S. Avrunin,
Christian Miccile,
Maria Arshanskiy,
Annette Phillips,
Marco Zenati,
Roger Dias,
To appear in the 2022 International Conference on Human-Computer Interaction (HCI International 2022). (UM-CS-2022-001)
[ PDF ]
Digital Cognitive Aids to Support Adaptation of Surgical Processes to COVID-19 Protective Policies
Heather M. Conboy,
Lauren R. Kennedy-Metz,
George S. Avrunin,
Lori A. Clarke,
Leon J. Osterweil,
Roger D. Dias,
Marco A. Zenati,
2020 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), Victoria, BC, Canada, 2020, pp. 205-210. (UM-CS-2020-004)
[ IEEE ]
[ PDF ]
Process Driven Guidance for Complex Surgical Procedures
George S. Avrunin,
Stefan C. Christov,
Lori A. Clarke,
Heather M. Conboy,
Leon J. Osterweil,
Maro A. Zenati,
In the American Medical Informatics Association 2018 Annual Symposium (AMIA 2018), November 3 - 7, 2018, San Francisco, CA. pp. 175-184. (UM-CS-2018-010)
[ Pubmed ]
[ PDF ]
[ Slides ]
Toward Improving Surgical Outcomes by Incorporating Cognitive Load Measurement into Process-Driven Guidance
George S. Avrunin,
Lori A. Clarke,
Heather M. Conboy,
Leon J. Osterweil,
Roger D. Dias,
Steven J. Yule,
Julian M. Goldman,
Marco A. Zenati,
In Proceedings of the International Workshop on Software Engineering in Healthcare Systems (SEHS '18), May 2018. pp. 2?9. (UM-CS-2018-002)
[ PubMed ]
[ ACM ]
[ PDF ]
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