• DocumentCode
    2193895
  • Title

    Analytics to Improve Service in a Pre-admission Testing Clinic

  • Author

    Agnihothri, Saligrama ; Banerjee, Anu ; Thalacker, Gail

  • Author_Institution
    Binghamton Univ., Binghamton, NY, USA
  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    1325
  • Lastpage
    1331
  • Abstract
    Health care organizations are beginning to use analytics to improve their quality of care. Objective of this paper is to provide a case study of using analytics to improve a healthcare process. We focus on providing a big picture of the project rather than presenting details of our data analysis and models used. We explain the operations of a Pre-Admission Testing Clinic (PATC) in a hospital and efforts to improve patient service by using analytics. A PATC gathers important patient information and performs all procedure-specific tests to get the patients ready for surgery in the Operating Room (OR) on surgery date. Patients are either scheduled an appointment in advance or allowed to walk-in to receive service in the PATC. Recently, the management has observed increased patient wait. Through data collection and analysis, we provided many valuable insights to the management on causes of the problem and suggested cost effective strategies to improve patient service.
  • Keywords
    data analysis; medical computing; patient care; surgery; OR; PATC; cost effective strategies; data analysis; health care organizations; healthcare process; operating room; patient information; patient service; preadmission testing clinic; procedure-specific tests; service improvement; surgery; surgery date; Analytical models; Electrocardiography; Hospitals; Surgery; Testing; X-rays; Business Analytics; Healthcare; Pre-admission test; Pre-operative assessment clinic; Process improvement; Quality Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.162
  • Filename
    7069970