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