2.50
Hdl Handle:
http://hdl.handle.net/10755/163331
Category:
Abstract
Type:
Presentation
Title:
The N-CODES Project: An Innovative Process in Knowledge Development
Author(s):
Chin, Elizabeth F.
Author Details:
Elizabeth F. Chin, MS, RN, ANP-c, Visiting Lecturer, University of Massachusetts, Adult & Child Nursing, North Dartmouth, Massachusetts, USA, email: echin@umassd.edu
Abstract:
Purpose: This paper reports on the unique approach to knowledge development developed by the N-CODES researchers. The knowledge development process was devised to translate different forms of nursing knowledge to practice. The process includes strategies to locate the best evidence to answer clinical questions and to address the "gray zones of nursing practice" where answers are not as readily available. Theoretical Framework: The Clinical Decision-Making Model (CDMM) and the Novice Clinical Reasoning Model (NCRM) provide the framework for this paper. These models were developed as a foundation for the N-CODES project. Methods (Design, Sample, Setting, Measures, Analysis): Formal and practice-based knowledge were compiled, and evaluated in the process of developing the N-CODES knowledge domain. Steps in the process included developing a typology for the knowledge domain development, searching and selecting evidence, rating the quality of individual evidence, evaluating the quality, quantity and confidence of collective evidence, organizing knowledge in the form of data rules, consulting with practice experts regarding inconsistencies in evidence and developing rules. Nursing and engineering researchers work collaboratively to understand the language of each others discipline and ensure the knowledge domain was configured to mesh with engineering algorithms. Results: A method to uncover, evaluate and assimilate information to develop the knowledge domain for a Clinical Decision Support System (CDDS) will be discussed. The process represents an innovative approach of translating knowledge to practice utilizing both formal and practice-based evidence as well as a network of practicing clinicians. Conclusions and Implications: Although the knowledge development process was designed to configure knowledge for the N-CODES system, the process has broader applications. Knowledge needs to be compatible with engineering algorithms that drive decision-making programs, and this process can be used in future CDDS as well as other decision support tools. With evidence-based practice providing the backdrop for knowledge mapping, the process also outlines a method for developing and evaluating evidence for nursing practice. [Symposium presentation]
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2006
Conference Name:
18th Annual Scientific Sessions
Conference Host:
Eastern Nursing Research Society
Conference Location:
Cherry Hill, New Jersey
Description:
�New Momentum for Nursing Research: Multidisciplinary Alliances�, held on April 20th -22nd at the Hilton in Cherry Hill, New Jersey
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleThe N-CODES Project: An Innovative Process in Knowledge Developmenten_GB
dc.contributor.authorChin, Elizabeth F.en_US
dc.author.detailsElizabeth F. Chin, MS, RN, ANP-c, Visiting Lecturer, University of Massachusetts, Adult & Child Nursing, North Dartmouth, Massachusetts, USA, email: echin@umassd.eduen_US
dc.identifier.urihttp://hdl.handle.net/10755/163331-
dc.description.abstractPurpose: This paper reports on the unique approach to knowledge development developed by the N-CODES researchers. The knowledge development process was devised to translate different forms of nursing knowledge to practice. The process includes strategies to locate the best evidence to answer clinical questions and to address the "gray zones of nursing practice" where answers are not as readily available. Theoretical Framework: The Clinical Decision-Making Model (CDMM) and the Novice Clinical Reasoning Model (NCRM) provide the framework for this paper. These models were developed as a foundation for the N-CODES project. Methods (Design, Sample, Setting, Measures, Analysis): Formal and practice-based knowledge were compiled, and evaluated in the process of developing the N-CODES knowledge domain. Steps in the process included developing a typology for the knowledge domain development, searching and selecting evidence, rating the quality of individual evidence, evaluating the quality, quantity and confidence of collective evidence, organizing knowledge in the form of data rules, consulting with practice experts regarding inconsistencies in evidence and developing rules. Nursing and engineering researchers work collaboratively to understand the language of each others discipline and ensure the knowledge domain was configured to mesh with engineering algorithms. Results: A method to uncover, evaluate and assimilate information to develop the knowledge domain for a Clinical Decision Support System (CDDS) will be discussed. The process represents an innovative approach of translating knowledge to practice utilizing both formal and practice-based evidence as well as a network of practicing clinicians. Conclusions and Implications: Although the knowledge development process was designed to configure knowledge for the N-CODES system, the process has broader applications. Knowledge needs to be compatible with engineering algorithms that drive decision-making programs, and this process can be used in future CDDS as well as other decision support tools. With evidence-based practice providing the backdrop for knowledge mapping, the process also outlines a method for developing and evaluating evidence for nursing practice. [Symposium presentation]en_GB
dc.date.available2011-10-27T11:05:36Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T11:05:36Z-
dc.conference.date2006en_US
dc.conference.name18th Annual Scientific Sessionsen_US
dc.conference.hostEastern Nursing Research Societyen_US
dc.conference.locationCherry Hill, New Jerseyen_US
dc.description�New Momentum for Nursing Research: Multidisciplinary Alliances�, held on April 20th -22nd at the Hilton in Cherry Hill, New Jerseyen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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