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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

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Published on: April 11, 2018

No more unimplementable nurse workforce planning.

Claire Su-Yeon Park^1,2,3, Mehmet Kabak⁴, Haejoong Kim⁵

¹University of Alberta Faculty of Nursing, Edmonton, Alberta, Canada.

Contemporary Nurse

|March 21, 2022

Summary

This summary is machine-generated.

Optimal nurse staffing and scheduling are crucial due to the global nursing shortage. Mathematical programming (MP) can enhance efficiency, but nurse scientists need better MP education and interdisciplinary collaboration.

Keywords:

decision-making mathematical programming nurse scheduling nursing workforce optimal safe staffing optimisation social justice

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Area of Science:

Nursing Science
Operations Research
Decision Science

Background:

The integration of mathematical programming (MP) in nursing research, particularly for workforce scheduling, has lagged, creating a gap between academic findings and practical application.
Nurse scientists require enhanced skills in MP and decision science to bridge this gap and ensure nursing values are central to algorithmic approaches.
The Fourth Industrial Revolution necessitates nurse scientists to be adept in advanced analytical methods and interdisciplinary collaboration.

Approach:

This paper critically reviews Ang et al.'s (2018) work on emergency department nurse scheduling.
It engages in a practical discourse on current nurse workforce staffing and scheduling systems.
The discussion emphasizes the need for nurse scientists to lead in developing implementable MP-integrated knowledge.

Key Points:

Mathematical Programming (MP) offers significant potential for optimizing nurse staffing and scheduling to improve efficiency and cost-effectiveness.
There is a critical need for nurse scientists to develop expertise in MP and decision science.
Interdisciplinary collaboration is essential to prevent the negative impacts of purely algorithm-driven solutions and to ensure alignment with the intrinsic values of nursing care.

Conclusions:

Optimal nurse staffing and scheduling are paramount given the current global nursing shortage.
MP tools can assist nurse executives in achieving efficient and cost-effective nurse deployment.
Nurse scientists must prioritize the development of a new knowledge base in MP that is directly applicable to nursing practice.