Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score

Joseph Agor, Kendall McKenzie, Maria E. Mayorga, Osman Ozaltin, Riddhi S. Parikh, Jeanne Huddleston

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

Abstract

This study describes a simulation model that was used to evaluate a proposed workload score. The score was designed to assist in triaging patients into the hospital services of the Division of Hospital Internal Medicine at Mayo Clinic in an effort to more equitably balance workload among the division's provider teams (or services). The first part of this study was the development of a score, using Delphi surveys, conjoint analysis, and optimization methods, that accurately represents provider workload. A simulation model was then built to test the score using historical patient data. Preliminary simulation results reported the proportion of time that each provider team spent working at or above 'maximum utilization,' as defined by Mayo Clinic experts. The model yielded a 12.1% decrease (on average) in the proportion of time provider teams spent at or above maximum utilization, while simultaneously displaying a more balanced workload across provider teams.

Original languageEnglish (US)
Title of host publication2017 Winter Simulation Conference, WSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2881-2892
Number of pages12
VolumePart F134102
ISBN (Electronic)9781538634288
DOIs
StatePublished - Jan 4 2018
Event2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States
Duration: Dec 3 2017Dec 6 2017

Other

Other2017 Winter Simulation Conference, WSC 2017
CountryUnited States
CityLas Vegas
Period12/3/1712/6/17

Fingerprint

Medicine
Workload
Internal
Optimization
Division
Simulation Model
Proportion
Conjoint Analysis
Optimization Methods
Decrease
Internal Medicine
Evaluate
Simulation
Model

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Agor, J., McKenzie, K., Mayorga, M. E., Ozaltin, O., Parikh, R. S., & Huddleston, J. (2018). Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. In 2017 Winter Simulation Conference, WSC 2017 (Vol. Part F134102, pp. 2881-2892). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2017.8248011

Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. / Agor, Joseph; McKenzie, Kendall; Mayorga, Maria E.; Ozaltin, Osman; Parikh, Riddhi S.; Huddleston, Jeanne.

2017 Winter Simulation Conference, WSC 2017. Vol. Part F134102 Institute of Electrical and Electronics Engineers Inc., 2018. p. 2881-2892.

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

Agor, J, McKenzie, K, Mayorga, ME, Ozaltin, O, Parikh, RS & Huddleston, J 2018, Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. in 2017 Winter Simulation Conference, WSC 2017. vol. Part F134102, Institute of Electrical and Electronics Engineers Inc., pp. 2881-2892, 2017 Winter Simulation Conference, WSC 2017, Las Vegas, United States, 12/3/17. https://doi.org/10.1109/WSC.2017.8248011
Agor J, McKenzie K, Mayorga ME, Ozaltin O, Parikh RS, Huddleston J. Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. In 2017 Winter Simulation Conference, WSC 2017. Vol. Part F134102. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2881-2892 https://doi.org/10.1109/WSC.2017.8248011
Agor, Joseph ; McKenzie, Kendall ; Mayorga, Maria E. ; Ozaltin, Osman ; Parikh, Riddhi S. ; Huddleston, Jeanne. / Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score. 2017 Winter Simulation Conference, WSC 2017. Vol. Part F134102 Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2881-2892
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