IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v01y2002i04ns0219622002000439.html
   My bibliography  Save this article

Modeling And Analysis Of Occupancy Data: A Healthcare Capacity Planning Application

Author

Listed:
  • MARK W. ISKEN

    (Oakland University, School of Business Administration, Department of Decision and Information Sciences, 317 Elliott Hall, Rochester, Michigan 48309, USA)

Abstract

Managerial decision making problems in the healthcare industry often involve considerations of customer occupancy by time of day and day of week. Through a case study at a large tertiary care hospital, we discuss a number of issues that arise in analyzing occupancy data which have implications for design of healthcare operations oriented data warehouses and analysis tools. We offer practical solutions to these problems including a transaction oriented database design, a general database framework and software tool for analysis of occupancy related data and a method for simulating entity flow from the data mart.

Suggested Citation

  • Mark W. Isken, 2002. "Modeling And Analysis Of Occupancy Data: A Healthcare Capacity Planning Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 1(04), pages 707-729.
    • Handle: RePEc:wsi:ijitdm:v:01:y:2002:i:04:n:s0219622002000439
    DOI: 10.1142/S0219622002000439
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622002000439
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219622002000439?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Broyles, James R. & Cochran, Jeffery K. & Montgomery, Douglas C., 2010. "A statistical Markov chain approximation of transient hospital inpatient inventory," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1645-1657, December.
    2. Amirhossein Meisami & Jivan Deglise-Hawkinson & Mark E. Cowen & Mark P. Oyen, 2019. "Data-driven optimization methodology for admission control in critical care units," Health Care Management Science, Springer, vol. 22(2), pages 318-335, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitdm:v:01:y:2002:i:04:n:s0219622002000439. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.