Intensive care unit operational modeling and analysis

Yue Dong, Huitian Lu, Ognjen Gajic, Brian Pickering

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Abstract

The outcome of critical illness depends not only on life threatening pathophysiologic disturbances, but also on several complex "system" dimensions: health care providers' performance, organizational factors, environmental factors, family preferences and the interactions between each component. Systems engineering tools offer a novel approach which can facilitate a "systems understanding" of patientenvironment interactions enabling advances in the science of healthcare delivery. Due to the complexity of operations in critical care medicine, certain assumptions are needed in order to understand system behavior. Patient variation and uncertainties underlying these assumptions present a challenge to investigators wishing to model and improve health care delivery processes. In this chapter we present a systems engineering approach to modeling critical care delivery using sepsis resuscitation as an example condition.

Original languageEnglish (US)
Title of host publicationManagement Engineering for Effective Healthcare Delivery
Subtitle of host publicationPrinciples and Applications
PublisherIGI Global
Pages132-147
Number of pages16
ISBN (Print)9781609608729
DOIs
StatePublished - Dec 1 2011

ASJC Scopus subject areas

  • Health Professions(all)

Fingerprint Dive into the research topics of 'Intensive care unit operational modeling and analysis'. Together they form a unique fingerprint.

  • Cite this

    Dong, Y., Lu, H., Gajic, O., & Pickering, B. (2011). Intensive care unit operational modeling and analysis. In Management Engineering for Effective Healthcare Delivery: Principles and Applications (pp. 132-147). IGI Global. https://doi.org/10.4018/978-1-60960-872-9.ch006