Staffing Optimization: Improve Staffing to Improve Nursing Worklife

2.50
Hdl Handle:
http://hdl.handle.net/10755/623285
Category:
Full-text
Format:
Text-based Document
Type:
Presentation
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Staffing Optimization: Improve Staffing to Improve Nursing Worklife
Other Titles:
Improving the Quality of Nursing Worklife: Using Technology and Human Resources Solutions [Symposium]
Author(s):
Fitzpatrick, Therese A.
Lead Author STTI Affiliation:
Alpha Lambda
Author Details:
Therese A. Fitzpatrick, PhD - Kaufman Hall & Associates, Skokie, IL, USA
Abstract:

A growing body of evidence in a wide variety of diverse industries suggests that systematic and scientifically based process improvement that leverages mathematical optimization can produce a myriad of innovative solutions to intractable nurse staffing problems. Logistics science offers new insight into planning and deploying clinical human capital.

Keywords:
Big Data; Labor Optimization; Nurse Staffing
Repository Posting Date:
16-Oct-2017
Date of Publication:
16-Oct-2017
Other Identifiers:
CONV17I06
Conference Date:
2017
Conference Name:
44th Biennial Convention
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Indianapolis, Indiana, USA
Description:
44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.
Note:
This record is part of an event symposium session. To locate other records associated with this symposium session, search the repository using the session key labeled as “Other Identifiers” in this record, or search by the symposium title. Items submitted to a conference/event were evaluated/peer-reviewed at the time of abstract submission to the event. No other peer-review was provided prior to submission to the Henderson Repository, unless otherwise noted.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePresentationen
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titleStaffing Optimization: Improve Staffing to Improve Nursing Worklifeen_US
dc.title.alternativeImproving the Quality of Nursing Worklife: Using Technology and Human Resources Solutions [Symposium]en
dc.contributor.authorFitzpatrick, Therese A.en
dc.contributor.departmentAlpha Lambdaen
dc.author.detailsTherese A. Fitzpatrick, PhD - Kaufman Hall & Associates, Skokie, IL, USAen
dc.identifier.urihttp://hdl.handle.net/10755/623285-
dc.description.abstract<p><span>A growing body of evidence in a wide variety of diverse industries suggests that systematic and scientifically based process improvement that leverages mathematical optimization can produce a myriad of innovative solutions to intractable nurse staffing problems. Logistics science offers new insight into planning and deploying clinical human capital.</span></p>en
dc.subjectBig Dataen
dc.subjectLabor Optimizationen
dc.subjectNurse Staffingen
dc.date.available2017-10-16T16:32:12Z-
dc.date.issued2017-10-16-
dc.date.accessioned2017-10-16T16:32:12Z-
dc.conference.date2017en
dc.conference.name44th Biennial Conventionen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationIndianapolis, Indiana, USAen
dc.description44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.en
dc.description.noteThis record is part of an event symposium session. To locate other records associated with this symposium session, search the repository using the session key labeled as “Other Identifiers” in this record, or search by the symposium title. Items submitted to a conference/event were evaluated/peer-reviewed at the time of abstract submission to the event. No other peer-review was provided prior to submission to the Henderson Repository, unless otherwise noted.-
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