Perspectives on Artificial Intelligence in Nursing in Asia

Overview

Journal Asian Pac Isl Nurs J

Publisher JMIR Publications

Date 2024 Jun 19

PMID 38896473

Authors

Nada Lukkahatai

Gyumin Han

Affiliations

Soon will be listed here.

Abstract

Artificial intelligence (AI) is reshaping health care, including nursing, across Asia, presenting opportunities to improve patient care and outcomes. This viewpoint presents our perspective and interpretation of the current AI landscape, acknowledging its evolution driven by enhanced processing capabilities, extensive data sets, and refined algorithms. Notable applications in countries such as Singapore, South Korea, Japan, and China showcase the integration of AI-powered technologies such as chatbots, virtual assistants, data mining, and automated risk assessment systems. This paper further explores the transformative impact of AI on nursing education, emphasizing personalized learning, adaptive approaches, and AI-enriched simulation tools, and discusses the opportunities and challenges of these developments. We argue for the harmonious coexistence of traditional nursing values with AI innovations, marking a significant stride toward a promising health care future in Asia.

References

Sturgill R, Martinasek M, Schmidt T, Goyal R . A Novel Artificial Intelligence-Powered Emotional Intelligence and Mindfulness App (Ajivar) for the College Student Population During the COVID-19 Pandemic: Quantitative Questionnaire Study. JMIR Form Res. 2020; 5(1):e25372. PMC: 7787688. DOI: 10.2196/25372. View

Wosik J, Fudim M, Cameron B, Gellad Z, Cho A, Phinney D . Telehealth transformation: COVID-19 and the rise of virtual care. J Am Med Inform Assoc. 2020; 27(6):957-962. PMC: 7188147. DOI: 10.1093/jamia/ocaa067. View

Castonguay A, Farthing P, Davies S, Vogelsang L, Kleib M, Risling T . Revolutionizing nursing education through Ai integration: A reflection on the disruptive impact of ChatGPT. Nurse Educ Today. 2023; 129:105916. DOI: 10.1016/j.nedt.2023.105916. View

McGrow K . Artificial intelligence: Essentials for nursing. Nursing. 2019; 49(9):46-49. PMC: 6716553. DOI: 10.1097/01.NURSE.0000577716.57052.8d. View

Balsano C, Burra P, Duvoux C, Alisi A, Piscaglia F, Gerussi A . Artificial Intelligence and liver: Opportunities and barriers. Dig Liver Dis. 2023; 55(11):1455-1461. DOI: 10.1016/j.dld.2023.08.048. View

Singh Malik Y, Sircar S, Bhat S, Ikram Ansari M, Pande T, Kumar P . How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future. Rev Med Virol. 2021; 31(5):1-11. PMC: 7883226. DOI: 10.1002/rmv.2205. View

Aydin A, Ozyazicioglu N . Assessment of postoperative pain in children with computer assisted facial expression analysis. J Pediatr Nurs. 2023; 71:60-65. DOI: 10.1016/j.pedn.2023.03.008. View

Sodeau A, Fox A . Influence of nurses in the implementation of artificial intelligence in health care: a scoping review. Aust Health Rev. 2022; 46(6):736-741. DOI: 10.1071/AH22164. View

Liao P, Hsu P, Chu W, Chu W . Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan. Health Informatics J. 2015; 21(2):137-48. DOI: 10.1177/1460458213509806. View

10.

Shi J, Wei S, Gao Y, Mei F, Tian J, Zhao Y . Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping. J Nurs Scholarsh. 2022; 55(4):853-863. DOI: 10.1111/jnu.12852. View

11.

Liaw S, Tan J, Rusli K, Ratan R, Zhou W, Lim S . Artificial Intelligence Versus Human-Controlled Doctor in Virtual Reality Simulation for Sepsis Team Training: Randomized Controlled Study. J Med Internet Res. 2023; 25:e47748. PMC: 10413090. DOI: 10.2196/47748. View

12.

Erikson H, Salzmann-Erikson M . Future Challenges of Robotics and Artificial Intelligence in Nursing: What Can We Learn from Monsters in Popular Culture?. Perm J. 2016; 20(3):15-243. PMC: 4991908. DOI: 10.7812/TPP/15-243. View

13.

Wang H, Gupta S, Singhal A, Muttreja P, Singh S, Sharma P . An Artificial Intelligence Chatbot for Young People's Sexual and Reproductive Health in India (SnehAI): Instrumental Case Study. J Med Internet Res. 2022; 24(1):e29969. PMC: 8764609. DOI: 10.2196/29969. View

14.

Khan M, de Oliveira Cruz V, Azad A . Bangladesh's digital health journey: reflections on a decade of quiet revolution. WHO South East Asia J Public Health. 2019; 8(2):71-76. DOI: 10.4103/2224-3151.264849. View

15.

Sharma M, Sharma S . A holistic approach to remote patient monitoring, fueled by ChatGPT and Metaverse technology: The future of nursing education. Nurse Educ Today. 2023; 131:105972. DOI: 10.1016/j.nedt.2023.105972. View

16.

Xu L, Sanders L, Li K, Chow J . Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review. JMIR Cancer. 2021; 7(4):e27850. PMC: 8669585. DOI: 10.2196/27850. View

17.

Simsek-Cetinkaya S, Karaveli Cakir S . Evaluation of the effectiveness of artificial intelligence assisted interactive screen-based simulation in breast self-examination: An innovative approach in nursing students. Nurse Educ Today. 2023; 127:105857. DOI: 10.1016/j.nedt.2023.105857. View

18.

Liu J, Liu F, Fang J, Liu S . The application of Chat Generative Pre-trained Transformer in nursing education. Nurs Outlook. 2023; 71(6):102064. DOI: 10.1016/j.outlook.2023.102064. View

19.

Harmon J, Pitt V, Summons P, Inder K . Use of artificial intelligence and virtual reality within clinical simulation for nursing pain education: A scoping review. Nurse Educ Today. 2020; 97:104700. DOI: 10.1016/j.nedt.2020.104700. View

20.

Hu Y, Lee Y, Kang M, Lee P . Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques. Comput Inform Nurs. 2020; 38(8):415-423. DOI: 10.1097/CIN.0000000000000604. View