Design of experiments and discrete-event simulation to study oncology nurse workload
Author:
Affiliation:
1. Industrial Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada;
2. Management department, Université du Québec à Trois-Rivières, QC,Canada
Publisher
Informa UK Limited
Subject
Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725579.2019.1680581
Reference49 articles.
1. The importance of considering resource’s tasks when modeling healthcare services with discrete-event simulation: an approach using work sampling method
2. Barks, J. (1998). Handbook of simulation: Principles, methodologies, advanced, applications and practices (p. 849). New-York: John Wiley & Sons.
3. Barks, J., Carson, J. S., II, Nelson, B. L. & Nicol, D. M. (2010). Discrete-event system simulation (p. 622). New Jersey: Prentice Hall.
4. Research into the workload and roles of oncology nurses within an outpatient oncology unit
5. Commentary. Nurse workforce planning in the UK: policies and impact
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