Improving outpatient phlebotomy service efficiency and patient experience using discrete-event simulation. Issue 7 (8th August 2016)

• Record Type: Journal Article
• Authors: Yip, Kenneth; Pang, Suk King; Chan, Kui Tim; Chan, Chi Kuen; Lee, Tsz Leung
• Editors: Hurst, Keith
• Is Part Of: International journal of health care quality assurance. Volume 29:Issue 7(2016)
• Publication Date: 2016-08-08
• Subjects: Medical care -- Quality control -- Periodicals; 362.1068
• DOI: 10.1108/IJHCQA-08-2015-0093
• Languages: English
• ISSNs: 0952-6862

Abstract

Abstract : Purpose: This article presents a simulation modeling application to reconfigure the outpatient phlebotomy service of an acute regional and teaching hospital in Hong Kong, with an aim to improve service efficiency, shorten patient queuing time and enhance workforce utilization. Design/methodology/approach: The system was modeled as an inhomogeneous Poisson process and a discrete-event simulation model was developed to simulate the current setting, and to evaluate how various performance metrics would change if switched from a decentralized to a centralized model. Variations were then made to the model to test different workforce arrangements for the centralized service, so that managers could decide on the service's final configuration via an evidence-based and data-driven approach. Findings: This article provides empirical insights about the relationship between staffing arrangement and system performance via a detailed scenario analysis. One particular staffing scenario was chosen by manages as it was considered to strike the best balance between performance and workforce scheduled. The resulting centralized phlebotomy service was successfully commissioned. Practical implications: This article demonstrates how analytics could be used for operational planning at the hospital level. We show that a transparent and evidence-based scenario analysis, made available through analytics and simulation, greatly facilitates management and clinical stakeholders to arrive at the ideal service configuration. Originality/value: We provide a robust method in evaluating the relationship between workforce investment, queuing reduction and workforce utilization, which is crucial for managers when deciding the delivery model for any outpatient-related service.