{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} Artificial Intelligence in Nursing: A Journey from Data to Wisdom

Activity Steps

1 Activity
2 Take Test 3Certificate

Learning Objectives

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

  1. Describe elements of AI within the DIKW Framework.
  2. Explain various components of AI and their potential impact on clinical nursing practice.
  3. Identify challenges and best practices for the adoption of AI into healthcare.

Learning Outcomes

By the conclusion of this activity, a majority of the participants will demonstrate knowledge of the role of AI in decision-making, data management, and task automation within the DIKW Framework by achieving a passing score on the posttest.

Disclosures

All authors and planners have no relevant financial relationships with any ineligible organizations regarding this educational activity.

Price: $21.95

Credits:

  • ANCC 2.0 CH
  • DC - BON 2.0 CH
  • FL - BON 2.0 CH
  • GA - BON 2.0 CH
  • NM - BON 2.0 CH
  • SC - BON 2.0 CH
  • WV - BOERN 2.0 CH

Lippincott Professional Development is accredited as a provider of nursing continuing professional development 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 Professional Development is also an approved provider of continuing nursing education by the District of Columbia Board of Nursing, Florida Board of Nursing, Georgia Board of Nursing, New Mexico Board of Nursing, South Carolina Board of Nursing, and West Virginia Board of Examiners for Registered Professional Nurses, #50-1223.













Planner
Test Code: N0425A
Published: Apr 2025
Expires: 6/4/2027
Sources: Nursing 2025
Required Passing Score: 8/10 (80%)
Authors: Kathleen McGrow, DNP, MS, RN, PMP, FHIMSS, FAAN
Categories: Communication , Electronic Information in Nursing , Ethical , Evidence Based Practice , Health Policy and Reform , Hospital , Interdisciplinary , Legal/Ethical , Practice Improvement , Professional Issues
Specialties: Administration, Informatics, Management, Nurse Executive, Professional Development, Quality Improvement
Topics: Data , Data Information Knowledge Wisdom Framework (DIKW) , Ethics , Generative AI , Machine Learning , Natural Language Processing , Predictive Analytics