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A two-level iteration approach for modeling and analysis of rapid response process with multiple deteriorating patients

  • Zexian Zeng
  • Zhenghao Fan
  • Xiaolei XieEmail author
  • Colleen H. Swartz
  • Paul DePriest
  • Jingshan Li
Article
  • 27 Downloads

Abstract

In acute care, a patient’s clinical deterioration is often a precursor to serious and often fatal outcomes. To reduce the severity and frequency of negative outcomes, care providers need to response rapidly by providing quick evaluation, triage, and treatment to patients with declining conditions. However, a provider’s availability to respond can be constrained when multiple patients are deteriorating at the same time. To study the multiple patients rapid response process, we introduce a network model with complex structures, such as split, merge, and parallel. Iterative methods are presented to evaluate the mean decision time (i.e., the average time from the detection of a patient’s declining to a physician’s treatment decision being made). It is shown that such methods lead to convergent results and high accuracy in performance evaluation. Such a model provides a quantitative tool for healthcare professionals to design and improve rapid response systems.

Keywords

Rapid response Decision time Mean waiting time Multiple patients Patient deterioration Iterations 

Notes

Acknowledgements

This work is supported in part by National Science Foundation Grant No. CMMI-1536987 and by National Natural Science Foundation of China Grant No. 71501109.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Feinberg School of MedicineNorthwestern UniversityEvanstonUSA
  2. 2.Department of Industrial EngineeringTsinghua UniversityBeijingPeople’s Republic of China
  3. 3.University of Kentucky Chandler Medical CenterLexingtonUSA
  4. 4.Baptist Memorial Health Care CorporationMemphisUSA
  5. 5.Department of Industrial and Systems EngineeringUniversity of WisconsinMadisonUSA

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