{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} 124 Be a Data Steward! Tools and Tips to Improve Clinical Processes with Data

Activity Steps

1 Activity
2 Take Test 3Certificate

Description

Audio Session and Presentation Slides from Nursing Management Congress 2016

In today's healthcare environment, nurse leaders are expected to take charge of quality and performance-based initiatives on multiple fronts.  Therefore, having an understanding of the principals of data stewardship as a nurse leader is critical to your success.  In this session you'll receive an overview of data stewardship concepts surrounding collecting, analyzing, and presenting data metrics for the purpose of driving process improvement. 

Learning Objectives

After completing this continuing education activity you will be able to:

  1. Create strategies around the concept of "Big Data."
  2. Leverage data for improving key performance indicators and quality metrics.
  3. Identify ways to collect, analyze, and present data for performance improvement.

Disclosures

The author and planners have disclosed no potential conflicts of interest, financial or otherwise.

Price: $12.95

Credits:

  • ANCC 1.0 CH
  • DC - BON 1.0 CH
  • KY-BON 1.0 CH
  • GA - BON 1.0 CH

Lippincott Williams & Wilkins is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation. This activity is also provider approved by the California Board of Registered Nursing, Provider Number CEP 11749. Lippincott Williams & Wilkins is also an approved provider of continuing nursing education by the District of Columbia Board of Nursing, Florida Board of Nursing, and Georgia Board of Nursing, #50-1223. Your certificate is valid in all states.







Planner
Test Code: NMC2016S124
Published: November 2016
Expires: 12/31/2026
Sources: Nursing Management Congress 2016
Required Passing Score: 1/1 (100%)
Authors: D'Andre Carpenter, DNP, MS-ISM, RN-BC, Corporate Director of Clinical Informatics
Categories: Management , Nursing Management Congress 2016
Specialties: Informatics, Management
Topics: Data Analysis