Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score

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

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

Abstract

This extended abstract provides an overview of the development of a simulation model to be used in the assistance of triaging patients into the Hospital Internal Medicine (HIM) Department at The Mayo Clinic in Rochester, MN in an effort to balance workload among the department services. The main contribution of this work is the development of a score that measures provider workload more accurately. Delphi sur-veys, conjoint analysis, and optimization methods were used in the creation of this score and it is believed to better represent provider workload. Preliminary results were based on the proportion of time of a month that each service was at or above "maximum utilization", which is how workload is currently viewed at an instance. A simulation model built in SIMIO 8 yielded a 12.1% decrease in the proportion of time that a service was at or above their "max utilization" on average, while also seeing a decrease in the average difference among these proportions by 8.3% (better balance among all services).

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3708-3709
Number of pages2
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

Fingerprint

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

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Agor, J., Mckenzie, K., Ozaltin, O., Mayorga, M., Parikh, R. S., & Huddleston, J. (2017). Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. In 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016 (pp. 3708-3709). [7822411] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2016.7822411

Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. / Agor, Joseph; Mckenzie, Kendall; Ozaltin, Osman; Mayorga, Maria; Parikh, Riddhi S.; Huddleston, Jeanne.

2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3708-3709 7822411.

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

Agor, J, Mckenzie, K, Ozaltin, O, Mayorga, M, Parikh, RS & Huddleston, J 2017, Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. in 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016., 7822411, Institute of Electrical and Electronics Engineers Inc., pp. 3708-3709, 2016 Winter Simulation Conference, WSC 2016, Arlington, United States, 12/11/16. https://doi.org/10.1109/WSC.2016.7822411
Agor J, Mckenzie K, Ozaltin O, Mayorga M, Parikh RS, Huddleston J. Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. In 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3708-3709. 7822411 https://doi.org/10.1109/WSC.2016.7822411
Agor, Joseph ; Mckenzie, Kendall ; Ozaltin, Osman ; Mayorga, Maria ; Parikh, Riddhi S. ; Huddleston, Jeanne. / Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score. 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3708-3709
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