2.50
Hdl Handle:
http://hdl.handle.net/10755/155512
Type:
Presentation
Title:
Optimization and Simulation for Nurse Assignment
Abstract:
Optimization and Simulation for Nurse Assignment
Conference Sponsor:Sigma Theta Tau International
Conference Year:2006
Author:Behan, Deborah F., MS, RN, BC
P.I. Institution Name:University of Texas at Arlington
Title:Clinical Instructor
Across the United States there is a shortage of nurses (GAO, 2001).  One way to reduce the burden of the shortage is to minimize excess workload for nurses by balancing their assignment of patients.  Minimizing the workload will help nurses to better meet the needs of their patients? and improve safety.  The University of Texas at Arlington (UTA) and Baylor Regional Medical Center in Grapevine collaborated to develop a simulation and optimization model that intelligently uses data to assign nurses to patients.  The model will be applied to medical-surgical units, a mom/baby unit, and a high risk neonatal unit.  The three main functions of the prototype are to optimize the assignment of nurses to patients, evaluate the assignment, and recalibrate the parameters so that nurses will have more manageable workloads and patient care will be safer.  This will ease the burden of the nursing shortage.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleOptimization and Simulation for Nurse Assignmenten_GB
dc.identifier.urihttp://hdl.handle.net/10755/155512-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Optimization and Simulation for Nurse Assignment</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2006</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Behan, Deborah F., MS, RN, BC</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Texas at Arlington</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Clinical Instructor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">dbehan@uta.edu</td></tr><tr><td colspan="2" class="item-abstract">Across the United States there is a shortage of nurses (GAO, 2001).&nbsp; One way to reduce the burden of the shortage is to minimize excess workload for nurses by balancing their assignment of patients.&nbsp; Minimizing the workload will help nurses to better meet the needs of their patients? and improve safety.&nbsp; The University of Texas at Arlington (UTA) and Baylor Regional Medical Center in Grapevine collaborated to develop a simulation and optimization model that intelligently uses data to assign nurses to patients.&nbsp; The model will be applied to medical-surgical units, a mom/baby unit, and a high risk neonatal unit.&nbsp; The three main functions of the prototype are to optimize the assignment of nurses to patients, evaluate the assignment, and recalibrate the parameters so that nurses will have more manageable workloads and patient care will be safer.&nbsp; This will ease the burden of the nursing shortage.</td></tr></table>en_GB
dc.date.available2011-10-26T13:54:37Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T13:54:37Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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