Abstract
The objective of this nursing informatics research was to identify data elements for a decision support system (DSS). The specific purposes were to (a) prioritize issues for strategic planning decisions that are expected to involve chief nurse executives during the next 10 years; (b) determine the information required to reduce uncertainty in making strategic decisions; and (c) translate the information required for strategic decisions into specific data elements to be included in a DSS. The methodology employed was a modification of the Policy Delphi using two rounds with a national sample of 240 nurse executives. The questionnaire consisted of 20 futuristic scenarios that were organized into social, economic, political, and technologic domains. Included within each domain was a list of information items categorized as clinical, financial, human resource, and environmental.
Sigma Membership
Alpha Kappa at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Quantitative Research
Keywords:
Nursing Informatics Research, Chief Nurse Executives, System Design
Advisor
Kathleen A. Smyth
Degree
PhD
Degree Grantor
University of Florida
Degree Year
1993
Recommended Citation
Barton, Amy J., "Elements of a decision support system for chief nurse executives" (2019). Dissertations. 494.
https://www.sigmarepository.org/dissertations/494
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2019-05-23
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9505667; ProQuest document ID: 304073322. The author still retains copyright.