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A discharge planning patient information system.

L Gray1

  • 1Bundoora Extended Care Centre, Melbourne, Victoria.

Australian Health Review : a Publication of the Australian Hospital Association
|December 9, 1993
PubMed
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A new computerised patient information system improves discharge planning for complex care patients. This system accurately measures bed utilization, unlike the conventional Australian method which underestimates needs.

Area of Science:

  • Health Informatics
  • Hospital Administration
  • Patient Care Management

Background:

  • Discharge planning for patients with complex care needs presents administrative challenges.
  • Existing methods for measuring bed utilization by patients awaiting residential care may be inaccurate.
  • Efficient patient flow is crucial for hospital resource management.

Purpose of the Study:

  • To describe a computerised patient information system designed to enhance discharge planning.
  • To evaluate the system's effectiveness in recording bed utilization for patients awaiting discharge.
  • To compare the system's findings with conventional methods in Australia.

Main Methods:

  • Development and implementation of a computerised patient information system in two acute general hospitals.

Related Experiment Videos

  • Transparent recording of key information on bed utilization for various discharge outcomes.
  • Comparative analysis of system-recorded bed utilization against the Australian 'Nursing Home Type bed-days' method.

    • Main Results:

    • The computerised system accurately recorded bed utilization for patients awaiting residential care.
    • The conventional 'Nursing Home Type bed-days' method underestimated bed utilization by 50%.
    • The conventional method failed to identify over 60% of patients recommended for permanent residential care.

    Conclusions:

    • Computerised patient information systems offer a more accurate approach to managing discharge planning.
    • The developed system provides transparent and reliable data on bed utilization.
    • Improved data accuracy can lead to better resource allocation and patient management for complex care needs.