Elements of a Decision Support System for Chief Nurse Executives
Review TypeNone: Degree-based Submission
Repository Posting Date2019-05-23T18:39:56Z
Author(s)Barton, Amy J.
Author DetailsAmy J. Barton, PhD, RN, FAAN
Lead Author Sigma AffliationAlpha Kappa at-Large
Level of EvidenceCross-Sectional
Research ApproachQuantitative Research
CINAHL HeadingsInformation Needs -- Evaluation; Strategic Planning -- Evaluation; Nurse Administrators; Decision Support Systems, Management; Decision Making; Information Needs; Strategic Planning
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. Chief nurse executives rated the scenarios on a 5-point Likert scale, indicating the extent to which the scenario would impact nursing in the next 10 years. In addition, chief nurse executives rated the information items in each domain on a similar scale, indicating the extent to which the information item would be useful in reducing uncertainty when making strategic decisions pertaining to the scenarios. Responses were obtained from 121 chief nurse executives (50.4%). There are four major outcomes of this study. First, a new conceptual framework for nursing informatics research was developed. Second, a prioritized list of topics of concern to chief nurse executives for the next 10 years was determined. Third, analysis revealed a greater proportion of financial information items to be of concern when compared with the prioritized items from the clinical, human resource, and environmental categories. Finally, a compendium of data elements for use by chief nurse executives was identified. These data elements can be evaluated by chief nurse executives in the development of automated decision support systems to support them in the strategic planning process.
DescriptionThis 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.
Advisor(s)Smyth, Kathleen A.
Degree GrantorUniversity of Florida
NotesThis item has not gone through this repository's peer-review process, but has been accepted by the indicated university or college in partial fulfillment of the requirements for the specified degree.
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