Planning Models for Skills-Sensitive Surgical Nurse Staffing

18 Pages Posted: 28 Apr 2017

See all articles by Maya Bam

Maya Bam

University of Michigan at Ann Arbor

Zheng Zhang

Brian Denton

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering

Mark P. Van Oyen

University of Michigan at Ann Arbor

Mary Duck

University of Michigan at Ann Arbor

Date Written: April 21, 2017

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 regulations. Based on collaboration with a large academic hospital, we present planning level optimization models to group surgical services into 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.

Keywords: Service Group Teams, Surgical Nurse Staffing, Planning Level Models, Optimization

Suggested Citation

Bam, Maya and Zhang, Zheng and Denton, Brian and Van Oyen, Mark P. and Duck, Mary, Planning Models for Skills-Sensitive Surgical Nurse Staffing (April 21, 2017). Available at SSRN: https://ssrn.com/abstract=2959005 or http://dx.doi.org/10.2139/ssrn.2959005

Maya Bam (Contact Author)

University of Michigan at Ann Arbor ( email )

500 S. State Street
Ann Arbor, MI 48109
United States

Brian Denton

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering ( email )

1205 Beal Avenue
Ann Arbor, MI 48109
United States

Mark P. Van Oyen

University of Michigan at Ann Arbor ( email )

500 S. State Street
Ann Arbor, MI 48109
United States

Mary Duck

University of Michigan at Ann Arbor ( email )

500 S. State Street
Ann Arbor, MI 48109
United States

No contact information is available for Zheng Zhang

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