• Login
    View Item 
    •   IIMA Institutional Repository Home
    • Conference Proceedings
    • 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
    • View Item
    •   IIMA Institutional Repository Home
    • Conference Proceedings
    • 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    An Application of Queuing Theory to Analyze Non-Clinical process in Hospital Operations

    Thumbnail
    View/Open
    IC 15-129.pdf (420.1Kb)
    Date
    2015
    Author
    Yaduvanshi, Deepak
    Sharma, Ashu
    Metadata
    Show full item record
    Abstract
    Waiting is inherent to the services as services are perishable and intangible. The perceived waiting is much more annoying for the patients than the actual waiting time for the patients. The studies had revealed that the subjective waiting time have higher co-relation with the frustration of the patients than the objective waiting time. This parameter was taken care of while giving the recommendations for the improvement of the process efficiency. This study comprises of the in depth analysis of OPD from different dimensions. Basically the calculation of time taken by the outdoor patients at each visit for the Registration, for the new patients and billing for the other patients. The time and delay points in consultation are also calculated. Also, to know about the patients perception on the delay and the probable reason and required solutions for the same. Based on all the observations and data collection performed during the study,a SWOT analysis was also done for the OPD of Fortis escorts Hospital Jaipur( FEHJ). SWOT analysis gives an opportunity to the organization to dissect the complete problem statement and come out with the solutions knowing where the organization can excel and where there is a scope of improvement to make the working and processes better. Finally, after examining the problem analytically using the queuing model, measures were suggested to improve the delay points and make the service system more efficient and to gain a high patient satisfaction rating on which a hospital thrives upon.
    URI
    http://hdl.handle.net/11718/14071
    Collections
    • 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence [70]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of IIMA Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV