Optimizing the patient transport function at Mayo Clinic.

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.

journal_name

Qual Manag Health Care

authors

Kuchera D,Rohleder TR

doi

10.1097/QMH.0b013e318231a84f

subject

Has Abstract

pub_date

2011-10-01 00:00:00

pages

334-42

issue

4

eissn

1063-8628

issn

1550-5154

pii

00019514-201110000-00009

journal_volume

20

pub_type

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