Balancing Nursing Workload by Constraint Programming

Nursing workload in hospitals has an impact on the quality of care and on job satisfaction. Understandably there has been much recent research on improving the staffing and nurse-patient assignment decisions in increasingly realistic settings. On a version of the nurse-patient assignment problem giv...

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Bibliographic Details
Published inIntegration of AI and OR Techniques in Constraint Programming Vol. 9676; pp. 294 - 302
Main Author Pesant, Gilles
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Achieve Domain Consistency
Generalized Assignment Problem
Mathematical theory of computation
Mean Workload
Spread Constraint
Staffing Configurations
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Summary:Nursing workload in hospitals has an impact on the quality of care and on job satisfaction. Understandably there has been much recent research on improving the staffing and nurse-patient assignment decisions in increasingly realistic settings. On a version of the nurse-patient assignment problem given a fixed staffing of neonatal intensive care units, constraint programming (CP) was shown to perform better than competing optimization methods. In this paper we take advantage of recent improvements to the CP approach to solve the integrated problem of staffing and nurse-patient assignment. We then consider a more difficult but also more realistic version of the problem in which patients are categorized into a small number of types and the workload associated with each type is nurse-dependent.
ISBN:3319339532
9783319339535
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-33954-2_21