TY - GEN
T1 - Modeling care teams at Mayo Clinic
AU - Rohleder, Thomas
AU - Huschka, Todd
AU - Egginton, Jason
AU - O'Neil, Dan
AU - Woychick, Naomi
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79951607040&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951607040&partnerID=8YFLogxK
U2 - 10.1109/WSC.2010.5678928
DO - 10.1109/WSC.2010.5678928
M3 - Conference contribution
AN - SCOPUS:79951607040
SN - 9781424498666
T3 - Proceedings - Winter Simulation Conference
SP - 2304
EP - 2314
BT - Proceedings of the 2010 Winter Simulation Conference, WSC'10
T2 - 2010 43rd Winter Simulation Conference, WSC'10
Y2 - 5 December 2010 through 8 December 2010
ER -