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Implementation is the execution of the nursing care plan developed during the planning phase.
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Optimizing Nurse Rostering: A Case Study Using Integer Programming to Enhance Operational Efficiency and Care

Aristeidis Mystakidis1, Christos Koukaras2, Paraskevas Koukaras1

  • 1School of Science and Technology, International Hellenic University, 14th km Thessaloniki-Moudania, 57001 Thessaloniki, Greece.

Healthcare (Basel, Switzerland)
|January 8, 2025
PubMed
Summary

Optimizing nurse rostering (NR) in oncology departments using Integer Programming (IP) significantly improves scheduling efficiency and staff satisfaction. This advanced approach balances workloads and preferences, enhancing patient care quality.

Keywords:
health informaticshealthcare analyticshealthcare managementinteger programmingnurse rosteringoncology departmentsoperational efficiency

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Area of Science:

  • Healthcare Management
  • Operations Research
  • Nursing Administration

Background:

  • Nurse rostering (NR) in oncology is complex, impacting efficiency and patient care.
  • Optimizing schedules is crucial for oncology clinics with acute, unpredictable patient needs.
  • Enhancing care delivery and staff satisfaction requires effective nurse scheduling.

Purpose of the Study:

  • To develop and implement an optimized Nurse Rostering (NR) model for oncology departments.
  • To address the challenges of equitable workload distribution and staff preference accommodation.
  • To improve operational efficiency and patient care quality through advanced scheduling.

Main Methods:

  • Utilized advanced Integer Programming (IP) techniques to create a comprehensive NR model.
  • Integrated constraints including legal work hours, staff qualifications, and personal preferences.
  • Validated the model through a case study in a clinical oncology setting.

Main Results:

  • The IP model demonstrated significant improvements in scheduling efficiency.
  • Achieved higher staff satisfaction by balancing workloads and accommodating preferences.
  • Ensured compliance with work-hour regulations, optimizing shift schedules.

Conclusions:

  • Integer Programming (IP) effectively addresses complex NR challenges in oncology.
  • The model facilitates strategic allocation of nursing resources for operational excellence.
  • Operations Research offers a powerful approach to enhance healthcare delivery and management.