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Optimizing the Patient Transport Function at Mayo Clinic

Kuchera, Dustin MS; Rohleder, Thomas R. PhD

doi: 10.1097/QMH.0b013e318231a84f
Original Articles

In this article, we report on the implementation of a computerized scheduling tool to optimize staffing for patient transport at the Mayo Clinic. The tool was developed and implemented in Microsoft Excel and Visual Basic for Applications and includes an easy-to-use interface. The tool allows transport management to consider the trade-offs between patient waiting time and staffing levels. While improved staffing efficiency was a desire of the project, it was important that patient service quality was also maintained. The results show that staffing could be reduced while maintaining historical patient service levels.

Division of Systems and Procedures (Mr Kuchera) and Division of Health Care Policy and Research (Dr Rohleder), Mayo Clinic, Rochester, Minnesota.

Correspondence: Thomas R. Rohleder, PhD, Division of Health Care Policy and Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (Rohleder@mayo.edu).

The authors declare no conflicts of interest.

©2011Lippincott Williams & Wilkins, Inc.