DocumentCode :
1909045
Title :
Modeling care teams at Mayo Clinic
Author :
Rohleder, Thomas ; Huschka, Todd ; Egginton, Jason ; O´Neil, Dan ; Woychick, Naomi
Author_Institution :
Mayo Clinic, Rochester, MN, USA
fYear :
2010
fDate :
5-8 Dec. 2010
Firstpage :
2304
Lastpage :
2314
Abstract :
At Mayo Clinic, care teams are being evaluated as a means to improve health care staff productivity and patient service. Traditional care in outpatient practices has health care staff working independently of each other with little coordination. Initial feedback by participating practices support the value of care teams. Our research focuses on a quantitative analysis of the care teams approach. By collecting detailed task data related to patient visits we then use discrete-event simulation to design alternative care team configurations, analyze staffing cost options, and compare these to traditional outpatient care delivery.
Keywords :
costing; discrete event simulation; health care; patient care; personnel; productivity; team working; Mayo Clinic; care team configuration; care team modeling; discrete-event simulation; health care staff productivity; outpatient care delivery; patient service; quantitative analysis; staffing cost option analysis; Analytical models; Back; Data models; Humans; Mathematical model; Medical services; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
ISSN :
0891-7736
Print_ISBN :
978-1-4244-9866-6
Type :
conf
DOI :
10.1109/WSC.2010.5678928
Filename :
5678928
Link To Document :
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