A Cyber-physical system to improve the management of a large suite of operating rooms

Guillaume Joerger, Juliette Rambourg, Helene Gaspard-Boulinc, Stephane Conversy, Barbara L. Bass, Brian J. Dunkin, Marc Garbey

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Cyber-physical systems have been deployed with considerable success in many industries. However, the implementation of cyber-physical systems in hospitals has been limited. By nature, in clinical operations, patient safety and consideration for health outcomes are of the utmost importance, thus possibly slowing the implementation of innovative solutions with limited history. Revenues from operating room (OR) time and surgery account for about 50% of the income of major hospitals (Erdogan et al. 2011; Cuschieri 2006), but the efficiency of OR utilization is often reported to be relatively low. Therefore, improving OR management with a cyber-physical system should be a priority. In this article, we will report on our experience implementing a cyber-physical system at Houston Methodist Hospital and discuss some of the difficulties and potential drivers for success. Our pilot study was done in the context of the management of a large suite of ORs. It uses the agile codevelopment of a cyber-physical system through an intense collaboration of clinicians and computational scientists. While technology remains the foundation of a cyber-physical system, this experience reinforced that the human factor is an important driving force behind the design that promotes user acceptance.

Original languageEnglish (US)
Article number34
JournalACM Transactions on Cyber-Physical Systems
Volume2
Issue number4
DOIs
StatePublished - Aug 1 2018

Keywords

  • Agent-based model
  • Agile development
  • Cyber-physical system
  • Hospital operating room
  • Human computer interface
  • Smart sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Human-Computer Interaction
  • Control and Optimization

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