Paper Info
Title
Optimization and Simulation of Orthopedic Spine Surgery Cases at Mayo Clinic
Abstract
AbstractSpine surgeries tend to be lengthy mean time of 4 hours and highly variable with some surgeries lasting 18 hours or more. This variability along with patient preferences driving scheduling decisions resulted in both low operating room OR utilization and significant overtime for surgical teams at Mayo Clinic. In this paper we discuss the development of an improved scheduling approach for spine surgeries over a rolling planning horizon. First, data mining and statistical analysis was performed using a large data set to identify categories of surgeries that could be grouped together based on surgical time distributions and could be categorized at the time of case scheduling. These surgical categories are then used in a hierarchical optimization approach with the objective of maximizing a weighted combination of OR utilization and net profit. The optimization model is explored to consider trade-offs and relationships among utilization levels, financial performance, overtime allowance, and case mix. The new scheduling approach was implemented via a custom Web-based application that allowed the surgeons and schedulers to interactively identify best surgical days with patients. A pilot implementation resulted in a utilization increase of 19% and a reduction in overtime by 10%.
Year
DOI
Venue
2016
10.1287/msom.2015.0564
Periodicals
Keywords
Field
DocType
operating room scheduling,surgery scheduling,mixed-integer program
Economics,Time horizon,Scheduling (computing),Case mix index,Overtime,Orthopedic surgery,Net profit,Operations management,Financial performance,Statistical analysis
Journal
Volume
Issue
ISSN
18
1
1526-5498
Citations 
PageRank 
References 
2
0.41
6
Authors
6
Name
Order
Citations
PageRank
Asli Ozen120.41
Yariv N. Marmor2235.71
Thomas Rohleder3192.19
Hari Balasubramanian41269.03
jeanne m huddleston521.43
Paul M. Huddleston692.97