Nurse workforce scheduling in the emergency department: A sequential decision support system considering multiple objectives
| Autor: | Marcus Eng Hock Ong, Boon Yew Ang, Shao Wei Sean Lam, Yogeswary Pasupathy |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Decision support system
Leadership and Management Computer science Personnel Staffing and Scheduling Scheduling (production processes) Workload Emergency Nursing 03 medical and health sciences 0302 clinical medicine Nursing Nurse scheduling problem Goal programming Humans 030212 general & internal medicine Nursing management 030504 nursing Shift Work Schedule Emergency department Models Theoretical Decision Support Systems Clinical Nursing Evaluation Research Organizational Case Studies Support system Emergency Service Hospital 0305 other medical science |
| Zdroj: | Journal of Nursing Management. 26:432-441 |
| ISSN: | 0966-0429 |
| DOI: | 10.1111/jonm.12560 |
| Popis: | Aim We propose a nurse scheduling framework based on a set of performance measures that are aligned with multiple outcome measures. A case study for the emergency department is presented. Methods A total of 142,564 emergency department attendances over 1 year were included in this study. Operational requirements, constraints and historical workload data were translated into a mixed-integer sequential goal programming model, which considers the following outcome measures: (1) nurse-patient ratios; (2) number of favourable/unfavourable shifts; and (3) dispersion of rest days. Computational studies compared the performance of the mixed-integer sequential goal programming results with manually generated historical nurse schedules. Results The maximum nurse-patient ratio deviation against the target was approximately 10% compared to 47% generated by the historical rosters (a 10% deviation translates to approximately two nurses). An on-line decision support system, which integrates shift preferences, staff databases and a workload forecasting module, was also developed. Conclusion A decision support system based on the mixed-integer sequential goal programming modelling framework was proposed. The application of the model in a case study for an emergency department demonstrated improvements over existing manual scheduling methods. Implications for nursing management This study demonstrates a mathematical, programming-based decision support system, which allows for managerial priorities and nurse preferences to be jointly considered in the automatic generation of nurse rosters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|