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

Author

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  • 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
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    Cited by:

    1. 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.
    2. 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.

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