{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} Using Data Mining Strategies in Clinical Decision Making: A Literature Review

Activity Steps

1 Activity
2 Take Test 3Certificate

Purpose of Activity

To provide information about the use of data-mining strategies in clinical decision making.

Learning Objectives

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

  1. Identify decision-making theories and data-mining models.
  2. Discuss the use of data-mining strategies in clinical decision making.

Disclosures

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

Price: $21.95

Credits:

  • ANCC 2.0 CH
  • DC - BON 2.0 CH
  • KY-BON 2.0 CH
  • GA - BON 2.0 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: CIN1016
Published: Oct 2016
Expires: 12/31/2026
Sources: CIN: Computers, Informatics, Nursing
Required Passing Score: 13/18 (72%)
Authors: Lu-Yen A. Chen, MN, BSc, RN; Tonks N. Fawcett, MSc, BSc (Hons), RN, RNT, PFHEA
Categories: Electronic Information in Nursing
Specialties: Informatics
Topics: Clinical Decision Support Systems , Data Mining