HJAR Mar/Apr 2024

HEALTHCARE JOURNAL OF ARKANSAS I  MAR / APR 2024 57 events. In one exemplar exercise, the user inputs inquiries regarding the involvement of a certain pop music icon with an elite athlete. The information will not be avail- able as it occurred after January of 2022. This is a trivial example that highlights the various considerations in the use of AI as a tool in general. Another notewor- thy characteristic of language model AI is the limitations set forth in the program- ing. ChatGPT, specifically, will not respond to nefarious inquiries or suggest harm to others as it has been trained not to do so. While controversy exists, it is clear that language model artificial intelligence has the potential to revolutionize healthcare by providing more efficient and effective ways to acquire, synthesize, and retain knowledge. 3 Adversely, language model AI can potentially threaten traditional meth- ods. As technology and AI are constantly evolving, there must be a commitment to ongoing learning and professional devel- opment in order to stay up to date on the latest developments and best practices. n the accuracy of the provided information. Users may submit a prompt ranging from recipe suggestions to content as advanced as a prompt to describe a venipuncture procedure or ethical considerations in on- cology care. A crucial consideration from a healthcare perspective is to use the expert knowledge as a clinician to ensure the re- sponses are aligned with current practice or theories. Just as with much of technolo- gy in healthcare, it is vital to use judgement and not rely solely on the technology itself. Since the recent publication of LLM AI, search engines such as Bing have includ- ed AI components to assist users as well. In approximately one to two years’ time, LLM AI has advanced from public-use beta testing to incorporation into com- monly used products. With that being noted, the programs are only as valid as information gathered since the last update. For ChatGPT, for example, the last update was in January of 2022. One entertaining way to illustrate this specific limitation is to submit a prompt about recent current Jennifer Bridges, MSN, RN, CCRN-K Assistant Professor of Nursing University of Arkansas at Little Rock School of Nursing REFERENCES 1 Buchanan, C.; Howitt, M. L.; Wilson, R.; et al. (2021). “Predicted Influences of Artificial In- telligence on Nursing Education: Scoping Re- view.” JMIR Nursing 4, no. 1(Jan. 28, 2021). doi: 10.2196/23933 2 Archibald, M. M.; Clark, A. M. “ChatGPT: What is it and how can nursing and health science edu- cation use it?” Journal of Advanced Nursing 79, issue 10 (Mar. 21, 2023): 3648-3651. https://doi. org/10.1111/jan.15643 3 Castonguay, A.; Farthing, P.; Davies, S.; et al. “Revolutionizing nursing education through AI integration: A reflection on the disruptive im- pact of ChatGPT.” Nurse Education Today 129 (October 2023): 105916. https://doi.org/10.1016/j. nedt.2023.105916 Jennifer Bridges is an assistant professor of nursing at the University of Arkansas at Little Rock’s School of Nursing.She has been a nurse for 19 years and has extensive experience in both clinical and educational settings. Jennifer received a Bachelor of Science in nursing from the University of Arkansas for Medical Sciences in 2005 and aMaster of Science in nursing education fromWalden University in 2019.She began her career working as a registered nurse in critical care atArkansas Children’s Hospital and has special- ized in the field of nursing education full-time since 2016. She also has experience as a tracheostomy educator, in home health nursing, and in inpatient staff education and holds a certification as a critical care registered nurse. In addition to her clinical ex- perience,Jennifer has also been actively involved in nursing education since 2009, serving as a clinical instructor for undergraduate nursing students at the University of Arkansas for Medical Sciences prior to her current role as UA Little Rock faculty.