Optimizing the patient transport function at mayo clinic

Dustin Kuchera, Thomas R. Rohleder

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)334-342
Number of pages9
JournalQuality Management in Health Care
Volume20
Issue number4
DOIs
StatePublished - Oct 1 2011

Keywords

  • computer model
  • patient service
  • patient transport
  • staff scheduling

ASJC Scopus subject areas

  • Leadership and Management
  • Health(social science)
  • Health Policy
  • Care Planning

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