Towards organ-centric compositional development of safe networked supervisory medical systems

Woochul Kang, Po Liang Wu, Maryam Rahmaniheris, Lui Sha, Richard B. Berlin, Julian M. Goldman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Medical devices are increasingly capable of interacting with each other by leveraging network connectivity and interoperability, promising a great benefit for patient safety and effectiveness of medical services. However, ad-hoc integration of medical devices through networking can significantly increase the complexity of the system and make the system more vulnerable to potential errors and safety hazards. In this paper, we address this problem and introduce an organ-centric compositional development approach. In our approach, medical devices are composed into semi-autonomous clusters according to organ-specific physiology in a network-fail-safe manner. Each organ-centric cluster captures common device interaction patterns of sensing and control to support human physiology. The library of these formally verified organ-centric architectural patterns enables rapid and safe composition of supervisory controllers, which are specialized for specific medical scenarios. Using airway-laser surgery as a case study of practical importance, we demonstrate the feasibility of our approach under Simulink's model-driven development framework.

Original languageEnglish (US)
Title of host publicationProceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
Pages143-148
Number of pages6
DOIs
StatePublished - Dec 9 2013
Event26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, Portugal
Duration: Jun 20 2013Jun 22 2013

Publication series

NameProceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

Other

Other26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013
CountryPortugal
CityPorto
Period6/20/136/22/13

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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