{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} Research Trends in Artificial Intelligence-Associated Nursing Activities Based on a Review of Academic Studies Published From 2001 to 2020

Activity Steps

Learning Objectives

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

  1. Recognize the background information the authors considered when planning and conducting their systematic review of artificial intelligence-associated nursing activities (AINAs).
  2. Choose the results of the authors' study that pertain to AINAs.
  3. Identify the research methods the authors found that address samples and algorithms.
  4. Select the results of the study that relate to the roles of AI in AINAs studies.

Learning Outcomes

Seventy-five percent of participants will demonstrate knowledge of a systematic review of the dimensions of nursing activities, research samples, research methods, roles of artificial intelligence, applied artificial intelligence algorithms, evaluation measure of algorithms, and research foci over the previous two decades by achieving a minimum score of 70% on the outcomes-based posttest.
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 with distinction 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.













Test Code: CIN1222
Published: December 2022
Expires: 9/5/2025
Required Passing Score: 8/10 (80%)
Authors: Gwo-Jen Hwang, PhD; Po-Ya Chang, MS; Wan-Yu Tseng, MS; Chia-An Chou, MS; Chih-Hsin Wu, MS; Yun-Fang Tu, PhD
Specialties: Education, Informatics, Research