• DocumentCode
    265501
  • Title

    Quantitative Case Study: Use of Pharmacy Patient Information Systems to Improve Operational Efficiency

  • Author

    Dobson, Gregory ; Tilson, David ; Tilson, Vera ; Haas, Curtis E.

  • Author_Institution
    Simon Sch. of Bus., Univ. of Rochester, Rochester, NY, USA
  • fYear
    2014
  • fDate
    6-9 Jan. 2014
  • Firstpage
    4220
  • Lastpage
    4228
  • Abstract
    In recent years, many US hospitals embarked on "lean" projects to reduce waste. One advantage of the lean operational improvement methodology is that it relies on process observation by the workers, and requires relatively little data. However, as more operational data becomes available, hospitals may be able to prospectively evaluate and implement redesigns resulting in even more significant waste reductions. We provide one example of such a re-design in this case of a data-driven waste reduction project in an in-hospital pharmacy. A relatively simple mathematical model of the medication prepared and delivered by the pharmacy is used to estimate the savings from several potential approaches (rescheduling the start of production, scheduling multiple batches, or reordering production) as well the impact of some information system enhancements. We find that relatively small process changes, if implemented nationally, have the potential to save tens of millions of dollars annually.
  • Keywords
    data handling; hospitals; medical information systems; US hospitals; data-driven waste reduction; information system enhancements; lean operational improvement methodology; medication delivery; medication preparation; multiple batch scheduling; operational efficiency improvement; pharmacy patient information systems; production start rescheduling; quantitative case study; reordering production; Hospitals; Information systems; Mathematical model; Production; Schedules; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2014 47th Hawaii International Conference on
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/HICSS.2014.521
  • Filename
    6759123