This is a two-part, in-person CE Class from 9 a.m. to 4 p.m. (6 hours of CE credits). If you’re a UC nurse, an extra hour will be available from 4 p.m. to 5 p.m.
Participants must be in attendance all day to receive the full 6 CEU CE credits, even if they have taken one of the classes prior to the sign-up date.
Part 1: The Biology of Inequality: The Health Impacts of Social Environments
Description
Nurses know firsthand that social conditions affect access to health care, exposure to health risks, and health outcomes for patients. But what exactly are the pathways and mechanisms by which “social determinants” like poverty, pollution, and discrimination manifest in the body and impact health? This course takes an interdisciplinary approach to investigate how social, economic, and political inequalities and injustices materialize in individual, population, and even generational health. The class will also consider what the implications are for union nurses as patient advocates and discuss how nurses can help remedy the pathogenic effects of inequality and injustice on human health and society.
Objectives
- Explain how economic, social, and political inequalities engender and shape health outcomes and identify root causes of health disparities;
- Articulate the connections between structural, social, environmental, and individual determinants of health and disease;
- Explore interpersonal, collective, and structural responses that address health disparities and their related social inequities.
Instructor: Kel Montalvo-Quiñones
Part 2: AI 101: What to know about AI in healthcare and its effects on patient advocacy
Description
What is AI? How does it work? How will it impact patient care and the nursing profession? This course will provide an overview of what artificial intelligence is and how it works, explore the types of technologies that employ AI in healthcare settings, and analyze the potential benefits and risks to patients and our communities. This course will also explore the ways nurses can ensure that AI and other data-driven technologies will not degrade the quality of the care they provide.
Objectives
- Define artificial intelligence (AI) and describe how AI technologies operate
- Identify existing and emerging use cases of AI and other data-driven technologies in healthcare settings
- Develop a foundation to protect nurses and patients from the implementation of harmful technologies.
Instructor: Lily Cain
Dates and Locations
Wednesday, May 29, 2024
Courtyard by Marriott Santa Rosa
175 Railroad Street
Santa Rosa, CA 95401
Friday, May 31, 2024
Oakland Marriott City Center
1001 Broadway
Oakland, CA 94607
Thursday, June 13, 2024
JW Marriott San Francisco Union Square
515 Mason Street
San Francisco, CA 94102
Monday, June 24, 2024
DoubleTree by Hilton Tampa Rocky Point Waterfront
3050 N. Rocky Point Drive West
Tampa, FL 33607
Wednesday, June 26, 2024
Courtyard by Marriott Kansas City Country Club Plaza
4600 Mill Creek Pkwy
Kansas City, MO 64112
Please note: CNA/NNOC/NNU is taking all necessary precautions to ensure the safety and health of nurses, our patients, and our communities during the ongoing Covid-19 pandemic. All in-person course participants are required to be fully vaccinated, wear masks while indoors, and practice social distancing to the extent possible.
CE courses are free to National Nurses United members. Classes are only offered to direct-care and staff RNs.
