Safe Composition of Complex Medical System University of Illinois at Urbana-Champaign Computer Science Department Fall 2010.

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Presentation transcript:

Safe Composition of Complex Medical System University of Illinois at Urbana-Champaign Computer Science Department Fall 2010

Medical Accidents More than 100,000 safety-related medical incidents a year in US According to Health Grades Caused by human error Drug-based adverse events Overlooked device interlocks Alarm fatigue Preventable by automated supervision

The MDPnP Program MDPnP : The Medical Device Plug-and-Play MDPnP Chair: Dr. Julian Goldman Inter-disciplinary, multi-institutional medical device informatics research program. Leading patient-centric Integrated Clinical Environment (ICE) standard MDPnP group is based at CIMIT and Massachusetts General Hospital.CIMITMassachusetts General Hospital

System Overview Device Virtual Device Virtual Device False Alarm Detector.. Device Virtual Device ICE Supervisor.. Pre-condition Checker Safety Interlock Manager Patient Clinician

UIUC Demos We demonstrate three related safe MDPnP technologies: NASS Framework- Airway Laser Surgery Ensuring distributed medical devices to enter failure safe states when the supervisor loop fails Context Aware Alarm Processing Using correlations between vital signs under a given medical procedure to validate alarms or reconstruct missing measurement Patient Screening for Safe MDPnP Identify potential safety hazards

UIUC Demos The presentations are based on the live demo at MDPnP lab at CIMIT. We would like to thank all the participants from Mass General, FDA, UPenn and U of Kansas, for their comments.

Publications Y. Li, Y. Sun, P. Sondhi, L. Sha, and C. Zhai, Reconstructing missing signals in multi-parameter physiologic data by mining the aligned contextual information, in Proceedings of Computing in Cardiology Conference 2010, Belfast, Northern Ireland, United Kingdom, Sep , P. Sondhi, J. Sun, C. Zhai, R. Sorrentino, M. S. Kohn, S. Ebadollahi, and Y. Li, Medical case-based retrieval by leveraging medical ontology and physician feedback, UIUC-IBM at ImageCLEF CLEF Y. Li, J. H, C. Zhai, and Y. Chen, Improving one-class collaborative filtering by incorporating rich user information, in CIKM 2010: Proceedings of the 19th ACM international conference on Information and knowledge management, Toronto, Canada, ACM. (acceptance ratio: 13.4%)

Publications P. Sondhi, M. Gupta, C. Zhai and J. Hockenmaier, Shallow information extraction from medical forum data, in Proceedings of COLING 2010,pp C. Kim, M. Sun, S. Mohan, H. Yun, L. Sha, and T. F. Abdelzaher, A framework for the safe interoperability of medical devices in the presence of network failures, in Proceedings of the 1 st ACM/IEEE International Conference of Cyber-Physical Systems, 2010, pp M. Rahmaniheris, C. Kim, S. Bak, and L. Sha, A multi-layer dependency framework for analysis of safety-critical embedded systems, submitted to DSN 2011