Other Titles
Enhancing Data Quality Using Data Management Strategies, Performance Measures, and Technology to Support Evidence-Based Practice
Abstract
This presentation will demonstrate how to implement data management strategies for effective utilization of a robust nursing data system that supports healthcare organizations in evidence-based guideline implementation. It reviews the longitudinal analysis that evaluated the impact on guideline implementation, to demonstrate the effect on patient care and cost effectiveness.
Notes
One combined slide deck was submitted for all presentations in this symposium. This slide deck will be attached to at least one other record in the repository. Please look for your preferred session within the combined presentation slides. To locate all records utilizing this slide deck, search by Alternative Title.
Sigma Membership
Non-member
Lead Author Affiliation
Registered Nurses' Association of Ontario, Toronto, Ontario, Canada
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Data Management Strategies, Data Quality, Evidence-based Practice
Recommended Citation
Naik, Shanoja, "Data management strategies to enhance the evaluation of evidence-based nursing practice" (2019). INRC (Congress). 244.
https://www.sigmarepository.org/inrc/2019/presentations_2019/244
Conference Name
30th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Calgary, Alberta, Canada
Conference Year
2019
Rights Holder
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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.
Acquisition
Proxy-submission
Data management strategies to enhance the evaluation of evidence-based nursing practice
Calgary, Alberta, Canada
This presentation will demonstrate how to implement data management strategies for effective utilization of a robust nursing data system that supports healthcare organizations in evidence-based guideline implementation. It reviews the longitudinal analysis that evaluated the impact on guideline implementation, to demonstrate the effect on patient care and cost effectiveness.