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Bringing decision support to nurse managers.

D Diers1, C Torre, D M Heard

  • 1Yale University School of Nursing, New Haven, CT 06536-0740, USA. donna.diers@yale.edu

Computers in Nursing
|June 3, 2000
PubMed
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Nurse managers can improve resource allocation using Decision Support Objects, which display nursing hours against set limits. This data-driven approach enhances unit management and accountability through monthly analysis and exception reporting.

Area of Science:

  • Healthcare Management
  • Nursing Administration
  • Operations Research

Background:

  • Effective hospital nursing management necessitates accurate, timely data for resource allocation.
  • Nurse managers require tools to align staffing with patient needs efficiently.

Purpose of the Study:

  • To present a framework using production theory for developing Decision Support Objects.
  • To demonstrate a method for enhancing nursing resource management through data visualization.

Main Methods:

  • Development of Decision Support Objects (DSOs) as graphic displays.
  • Utilizing production theory as a conceptual framework for DSO design.
  • Implementing an analytic algorithm for monthly review of nursing resources and trends.

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Main Results:

  • DSOs provide visual data on budgeted, scheduled, and worked nursing hours.
  • An analytic algorithm enables nurse managers to interpret unit-level resource trends.
  • Exception reporting facilitates accountability by highlighting deviations from control limits.

Conclusions:

  • Decision Support Objects offer a practical tool for modern nursing management.
  • Training nurse managers in using DSOs and understanding their implications is crucial for effective implementation.
  • This approach supports data-informed adjustments in nursing resources to meet patient demands.