Abstract

Surgical nurses are essential resources in the surgery delivery system. However, staffing decisions present a challenge due to the stochastic nature of surgical demand, nurse availability, skill requirements, and hospital or union regulations. This research focuses on a case study based on collaboration with a large academic hospital. We present planning level optimization models to group surgical services into service teams with the goal of achieving fairness in nurse training time, overnight surgical volume, and balance size across teams. Once teams are created, we further assign shifts to services and teams, ensuring that a sufficient number of nurses are available for the demand. We present results that provide insight into optimal surgical nurse staff planning decisions, and show that the newly designed teams are more balanced with respect to the performance metrics, and at the same time lead to improved coverage of surgical demand.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.