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Results for: Bioinformatics and Data Analysis Remove constraint Bioinformatics and Data Analysis Affiliation King Hussein Cancer Center Remove constraint Affiliation: King Hussein Cancer Center

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  • Open (Access) Journal-Article 
    Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

    Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

    Short discharge time from hospitals increases both bed availability and patients and families satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54 from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.

    Subjects:
    Health Sciences and Management
    Keywords:
    Hospitals -- Administration Process control Six sigma (Quality control stard)
    Resource Type:
    Open (Access) Journal-Article
     
    OER