Nurses are unfamiliar with the connections between population health simulation models and statistical models of precision medicine. The following presentation aims to narrow this practice gap by bringing awareness to the connections between population health simulation models and statistical models of precision medicine.
Accreditation Statement: University of Texas at Austin School of Nursing is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation.
Requirements for Successful Completion: To receive contact hours for this continuing education activity, the participant must complete the entire online module and complete and submit the evaluation form. Once the evaluation form has been submitted, a “Certificate of Successful Completion” will be awarded for 1.0 contact hours and will be available in your Learning Express account under "View/Print CE Credit".
Learning outcome: Registered nurses will report desire to change practice related to knowledge increase regarding empowering patients to use health technology to address chronic disease self-management. Focus will be on challenges specific to the aging population, youth, and underserved populations, exploring digital health research possibilities and limitations within the framework of ethical and legal boundaries.
The activity’s Nurse Planner has determined that no one who has the ability to control the content of this CNE activity – planning committee members and presenters/authors/content reviewers – has a conflict of interest.
This activity expires May 1, 2024
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Fee
$20.00
CE Hours
1.00
CE Units
0.100
Activity Type
- Knowledge
Target Audience(s)
- Registered Nurses
- Researchers
Nurses are unfamiliar with the connections between population health simulation models and statistical models of precision medicine. The following presentation aims to narrow this practice gap by bringing awareness to the connections between population health simulation models and statistical models of precision medicine.
Speaker(s)/Author(s)
|
Mark Hayward, PhD
Brief Bio : His primary research addresses how life course exposures and events influence the morbidity and mortality experiences of the adult population. Recent studies have clarified how early life conditions influence socioeconomic, race and gender disparities in adult morbidity and mortality; the demography of race/ethnic and gender disparities in healthy life expectancy; social inequality in the biomarkers of aging, and the health consequences of marriage, divorce, and widowhood. Most recently, he has been investigating the fundamental inequalities in adult mortality in the United States arising from educational experience, differences in these associations by race and gender, and trends in inequality in mortality. |
Release Date:
May 1, 2022
Credit Expiration Date:
May 1, 2024
CE Hours
1.00
Fee
$20.00