{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} Nursing Orientation to Data Science and Machine Learning
Activity Steps
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Learning Objectives
After completing this continuing education activity you will be able to:
- Define the key concepts of data science that are relevant to nursing practice.
- Identify the factors that help and hinder predictive models based on data entry in electronic health records.
Disclosures
The authors and planners have disclosed no potential conflicts of interest, financial or otherwise.
Price:
$21.95
Credits:
- ANCC 2.0 CH
- DC - BON 2.0 CH
- FL - BON 2.0 CH
- GA - BON 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, and Georgia Board of Nursing, #50-1223.
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Test Code: AJN0421B
Published: April 2021
Expires: 3/7/2025
Sources:
AJN, American Journal of Nursing
Required Passing Score: 8/10 (80%)
Specialties:
Evidence-based practice,
Informatics
Topics:
Bias
,
Big Data
,
Data Science
,
Electronic Health Record
,
Ethics
,
Evidence-Based Healthcare