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Prolog-based system for nursing staff scheduling implemented on a personal computer.

M Okada1, M Okada

  • 1Department of General Education, Niigata University, Japan.

Computers and Biomedical Research, an International Journal
|February 1, 1988
PubMed
Summary
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This study presents an automated nursing staff scheduling system. The Prolog-based system faithfully replicates manual methods to generate favorable daily shift assignments, demonstrating a valid approach to complex hospital scheduling challenges.

Area of Science:

  • Healthcare Management
  • Computer Science Applications
  • Operations Research

Background:

  • Hospital nursing staff scheduling is complex, involving numerous simultaneous, weighted requirements.
  • Defining a strictly optimal solution for nurse scheduling is challenging.
  • Manual scheduling methods are labor-intensive and difficult to optimize.

Purpose of the Study:

  • To develop an automated system for nursing staff scheduling.
  • To faithfully replicate the manual scheduling process using computational methods.
  • To improve the efficiency and consistency of nurse shift assignments.

Main Methods:

  • Developed a nurse scheduling system using Prolog on a personal computer.
  • Incorporated various significance-weighted requirements into the scheduling logic.

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  • Designed the system to emulate the established manual scheduling procedures.
  • Utilized a database to store and reference scheduling information.

    • Main Results:

    • The implemented Prolog system successfully determines favorable daily shift assignments.
    • Computer simulations confirmed the system's performance and validity.
    • The approach demonstrated the feasibility of automating complex scheduling tasks.

    Conclusions:

    • The automated nurse scheduling system, based on Prolog, offers a valid and effective approach.
    • Automating scheduling by mimicking manual methods is a practical solution for hospitals.
    • The system provides a reliable method for generating daily nurse shift assignments.