Other Titles

Enhancing Data Quality Using Data Management Strategies, Performance Measures, and Technology to Support Evidence-Based Practice

Abstract

This presentation describes a conceptual framework for developing guideline-based performance measures. Through key alignments made between the development of guidelines and guideline-based performance measures, enhancements to integrating data quality were made: demonstrating the impact and value of evidence-based guideline implementation efforts.

Notes

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Authors

Danny Wang

Author Details

Danny (Dan Feng) Wang, BScN, RNAO, Toronto, Ontario, Canada

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 Quality, Evidence-based Practice, Performance Measures

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 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.

Acquisition

Proxy-submission

Additional Files

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Conceptual framework for developing guideline-based performance measures to evaluate evidence-based practice and enhance data quality

Calgary, Alberta, Canada

This presentation describes a conceptual framework for developing guideline-based performance measures. Through key alignments made between the development of guidelines and guideline-based performance measures, enhancements to integrating data quality were made: demonstrating the impact and value of evidence-based guideline implementation efforts.