Artificial intelligence: A new paradigm in nursing education, research and practice
View File(s)
- Author(s)
- Details
-
Siobhán O’Connor, PhD, BSc, CIMA CBA, RN
- Sigma Affiliation
- Phi Mu
This webinar will discuss the emergence of artificial intelligence (AI) in healthcare and the implications this has for nursing education, research, and clinical practice. Dr. Siobhán O’Connor will outline the importance of AI algorithms and examine their potential benefits as well as the limitations and risks of these advanced computational techniques in nursing.
Learning Outcomes:
- Participants will be able to recall a brief history of artificial intelligence in healthcare
- Participants will be able to describe at least one way that AI impacts nursing
Sigma Nursing Contributing Professional Development (NCPD) Opportunity:
To earn NCPD contact hours for this webinar, log in to your My Courses Dashboard using your Sigma username and password.
After logging in, click "Earn Contact Hours for a Webinar You've Viewed" to learn how to search the Catalog and self-enroll in the webinar course.
To create a FREE account, please visit www.sigmalearning.org and click on "Create an account."
NCPD questions? Please contact education@sigmanursing.org.
Accreditation: Sigma Theta Tau International Honor Society of Nursing (Sigma) is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation.
This item record contains an embedded video. Scroll down to view.
Video Length: 1 hour, 4 minutes, 46 seconds
This item record represents a recording of a live presentation held at a previous date. Any references to audience participation, login codes, etc. are no longer applicable.
| Type | Presentation |
| Acquisition | Publisher-submission |
| Review Type | None: Educational Material
|
| Format | Text-based Document |
| Evidence Level | Expert Opinion (nationally/internationally recognized) |
| Research Approach | N/A |
| Keywords | Advanced Computational Techniques; Artificial Intelligence; Nursing Education |
| Publisher | Sigma Theta Tau International |
| Date | 2023-10-10 |
| Version | Publisher’s Version |
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Related items
Showing items related by title, author, creator and subjects.
-
Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of artificial intelligence
(Elsevier, 2022-11-14)Artificial Intelligence (AI) consists of a range of sophisticated computational techniques, encompassing machine learning algorithms and natural language processing among others, that are lauded as a way to improved clinical ... -
Practice enhancement for exclusive breastfeeding (PEEB) – an implementation science approach
Background: Implementation science looks at “what works, for whom, and in what circumstances,” to enable research uptake into practice.1 Ensuring healthy lives and promoting well-being at all ages is ... -
Using Twitter to engage nurses in policy debate to inform health strategy
(2017-07-18)Purpose: Health policy can often be designed with little input from frontline nursing or managerial staff, whose clinical and organisational expertise could add value to the development of national health ... -
Derek Hoy: The legacy of the first Scottish nursing informatician
(2017-07-20)Purpose: Derek Hoy was a prominent Scottish nursing informatician. This paper aims to explore his career and its impact on nursing, patients and the health services in Scotland and beyond. Methods: A ... -
Evaluating a practice change initiative to promote early skin-to-skin contact after cesarean birth
A practice change initiative was implemented which aimed to reduce separation of maternal-newborn dyads after Cesarean delivery at a small community-based hospital. This study evaluated if maternal-newborn proximity after ...
