A decision-support simulator for improving patient flow and increasing capacity at an eye outpatient department

C. K. Y. LIN*

*Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    4 Citations (Scopus)

    Abstract

    One of the growing healthcare needs in Hong Kong is eye disease treatment. We conducted a study at an eye outpatient department of a public hospital and developed a decision support tool based on computer simulation to serve several purposes: (1) identify dynamic bottlenecks, subject to changes in the layout, input parameters, patient scheduling and resources allocation plan, (2) estimate time-based and congestion performance measures in the multi-phase queuing system serving multiple patient classes with different flow sequences, (3) assess the impact of improvement scenarios with the aim to increase service capacity (patient quota per session), and (4) enable hospital management to understand the operational situation and identify room for improvement. The improvement scenarios explored include scheduling by patient type; adaptive scheduling to relieve dynamic bottleneck; allocation of resource in near bottleneck operation for patients with small operation times; workload balancing (of compatible resources) between the light and bottleneck operations; (partial) automation of operation with standard procedure; and increasing service capacity (patient quota) by combining promising improvement scenarios. © 2013 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013
    PublisherIEEE Computer Society
    Pages21-26
    ISBN (Print)9781467358835
    DOIs
    Publication statusPublished - 16 Apr 2013
    Event2013 1st IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
    Duration: 16 Apr 201319 Apr 2013

    Publication series

    NameIEEE Symposium Series on Computational Intelligence, SSCI 2013

    Conference

    Conference2013 1st IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
    Country/TerritorySingapore
    CitySingapore
    Period16/04/1319/04/13

    Research Keywords

    • capacity expansion component
    • decision support
    • healthcare service delivery
    • queuing simulation

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