Ngomsl simulation model in an emergency department

Nithin Parameshwara, Jung Hyup Kim, Wenbin Guo, Kalyan S Pasupathy

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

3 Scopus citations

Abstract

Natural Goals Operators Methods and Selection Rules Language (NGOMSL) model of the clinical process in an Emergency Department (ED) was developed using Micro Saint Sharp. This model advanced our understanding of a care provider's cognitive behavior in a dynamic ED environment. It also revealed the understanding of proximal workflow in the ED and the workload related to clinical processes. The benefits of this study are (a) improved understanding of the relevant form factors of the clinical process that contribute to a heavy workload in the ED and (b) prevention of potential errors caused by the workload. To understand the current ED workflow, hierarchical task analysis (HTA) charts were developed. The HTA charts were used to understand the detailed process mappings of nurses in the ED. Based on this multi-level analysis of the HTA charts, the NGOMSL simulation model was developed.

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1938-1949
Number of pages12
ISBN (Electronic)9781509044863
DOIs
StatePublished - Jan 17 2017
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: Dec 11 2016Dec 14 2016

Other

Other2016 Winter Simulation Conference, WSC 2016
CountryUnited States
CityArlington
Period12/11/1612/14/16

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ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Parameshwara, N., Kim, J. H., Guo, W., & Pasupathy, K. S. (2017). Ngomsl simulation model in an emergency department. In 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016 (pp. 1938-1949). [7822239] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2016.7822239