Utilizing Agent-based Simulation in a Lean Six Sigma Application to Reduce Patient Discharge Cycle Time: A Case Study in the UAE

Mariam Ali Ramadan, Maha Khalifa Al Dhaheri, Mecit Can Emre Simsekler, Andrei Sleptchenko, Jiju Antony, Saed Talib Amer

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Globally rising healthcare inefficiencies have forced the industry to adopt operational excellence methodologies and other approaches to deliver efficient and affordable services while maintaining patient satisfaction. However, there is no application of prominent OPEX methodologies, such as Six Sigma Methodology (SS) and Lean Thinking, nor agent-based simulation in the United Arab Emirates to enhance the quality and efficiency of the patient discharge process. Thus, this study bridges this gap, showing the efficacy of using these methodologies via a case study approach. The study effectively used several tools, including normality tests, capability analysis, fishbone diagram, Pareto chart, and value stream mapping, to validate the root causes and draw robust inferences. The study also simulated the current state of the discharge process to verify and validate the system performance and root causes and assess the efficiency of the proposed solutions. The simulation results illustrate a 56% decrease in the cycle time, a 74% decrease in non-value-added activities, and a 37% reduction in the waiting time of incoming patients through schedule optimization.

    Original languageBritish English
    Title of host publicationIISE Annual Conference and Expo 2023
    EditorsK. Babski-Reeves, B. Eksioglu, D. Hampton
    ISBN (Electronic)9781713877851
    DOIs
    StatePublished - 2023
    EventIISE Annual Conference and Expo 2023 - New Orleans, United States
    Duration: 21 May 202323 May 2023

    Publication series

    NameIISE Annual Conference and Expo 2023

    Conference

    ConferenceIISE Annual Conference and Expo 2023
    Country/TerritoryUnited States
    CityNew Orleans
    Period21/05/2323/05/23

    Keywords

    • Discharge Process
    • Healthcare
    • Lean Thinking
    • Simulation
    • Six Sigma Methodology

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