Adoption of Artificial Intelligence in Health Care: A Nursing Perspective
DOI:
https://doi.org/10.56294/saludcyt2023510Keywords:
Healthcare, Artificial Intelligence, Adoption of AI, Nursing Perspective, NursingAbstract
Artificial intelligence (AI) is revolutionizing various areas of health care, particularly the medical and nursing field, called "Adoption of Artificial Intelligence in Health Care: A Nursing Perspective." This article examines the state of artificial intelligence (AI) in healthcare research, its use, its advantages for healthcare, and any challenges that can arise when adopting AI to healthcare organizations. The benefits of AI, such as increased efficiency, cost savings, future direction, improved decision-making, and enhanced patient care experiences. It is the need of the hour to address the challenges to ensure the successful adoption of AI in healthcare operations and treatment modalities including Nursing. The possible difficulties with applying AI, include issues with data protection, the requirement for additional knowledge and training, and moral issues. The Impact of Artificial Intelligence on Healthcare offers organizations looking to use this technology to achieve their cost-effective strategic objectives for improved patient care useful insights into how AI is transforming the medical and nursing fields and interventions
References
1. Muhammed Iyas AD. Artificial intelligence in healthcare. Health and Medicine. 2018 Apr 10.
2. Global Observatory for e-health. 58th WHO assembly. 2015.
3. Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthcare Journal. 2019;6(2):94–98. https://doi.org/10.7861/futurehosp.6-2-94
4. Mehdipour Y. Nursing Managers’ Attitudes Towards Using Artificial Intelligence Systems in Nursing Decisions. IOSR Journal of Nursing and Health Science (IOSR-JNHS). 2019;8(02):87-90. DOI: 10.9790/1959-0802018790
5. Abdullah R, Fakieh B. Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. J Med Internet Res. 2020;22(5):e17620. https://doi.org/10.2196/17620
6. Glassman J, Humphreys K, Yeung S, Smith M, Jauregui A, Milstein A, Sanders L. Parents' Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey. J Med Internet Res. 2021;23(3):e19461. https://doi.org/10.2196/19461
7. Haneef R, Delnord M, Vernay M, Bauchet E, Gaidelyte R, Van Oyen H, Or Z, Pérez-Gómez B, Palmieri L, Achterberg P, Tijhuis M, Zaletel M, Mathis-Edenhofer S, Májek O, Haaheim H, Tolonen H, Gallay A. Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries. Arch Public Health. 2020;78(55):1-11. https://doi.org/10.1186/s13690-020-00436-9
8. Julia A, Allessandro B, Effy V, Dietmar F. Explainability for artificial intelligence in healthcare: A multidisciplinary perspective. BMC Medical Informatics and Decision Making. 2020;20(1):1-9. https://doi.org/10.1186/s12911-020-01332-6
9. Islam Lenin R. The Impact of Artificial Intelligence (AI) on Business Operations. International Journal of Advanced Multidisciplinary Research and Studies. 2023;3(2):788-797.
10. Ravishankar MN, Srikanth TK. The Impact of Artificial Intelligence on Business Operations: A Conceptual Framework. International Journal of Business Information Systems. 2019;33(1):1-21.
11. Evans P, Annunziata M. Artificial Intelligence and the Future of Work. Harvard Business Review. 2018.
12. Castagno S, Khalifa M. Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study. Front Artif Intell. 2020;3:578983. https://doi.org/10.3389/frai.2020.578983
13. S, S. P., V, G. R., Somasundaram J. AWARENESS AND KNOWLEDGE ABOUT ARTIFICIAL INTELLIGENCE IN HEALTHCARE AMONG DOCTORS - A SURVEY. European Journal of Molecular & Clinical Medicine. 2020;7(1):697-708.
14. Buch VH, Ahmed I, Maruthappu M. Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice. 2018;68(668):143-144. https://doi.org/10.3399/bjgp18X695213
15. Rong G, Mendez A, Bou Assi E, Zhao B, Sawan M. Artificial Intelligence in Healthcare: Review and Prediction Case Studies. Engineering. 2020;6(3):291-301. https://doi.org/10.1016/j.eng.2019.08.015
16. Laï MC, Brian M, Mamzer MF. Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. J Transl Med. 2020;18(1):1-14. https://doi.org/10.1186/s12967-019-02204-y
17. Antwi WK, Akudjedu TN, Botwe BO. Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives. Insights Imaging. 2021;12(80):1-9. https://doi.org/10.1186/s13244-021-01028-z
18. Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21(125):1-23. https://doi.org/10.1186/s12911-021-01488-9
19. Abdullah R, Fakieh B. Health care employee’s perceptions of the use of artificial intelligence application: survey study. Journal of Medical Internet Research. 2020;22(5):e17620. https://doi.org/10.2196/preprints.17620
20. Esmaeilzadeh P. Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives. BMC Med Inform Decis Mak. 2020;20(170):1-19. https://doi.org/10.1186/s12911-020-01191-1
21. Taie ES. Artificial intelligence as an innovative approach for investment in the future of healthcare in Egypt. Clinical Nursing Studies. 2020;8(3):1. https://doi.org/10.5430/cns.v8n3p1
22. Sapci AH, Sapci HA. Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review. JMIR Med Educ. 2020;6(1):e19285. https://doi.org/10.2196/19285
23. Rigamonti L, Estel K, Gehlen T, et al. Use of artificial intelligence in sports medicine: a report of 5 fictional cases. BMC Sports Sci Med Rehabil. 2021;13(13):1-7. https://doi.org/10.1186/s13102-021-00243-x
24. Li X, Tian D, Li W, Dong B, Wang H, Yuan J, Li B, Shi L, Lin X, Zhao L, Liu S. Artificial intelligence-assisted reduction in patients' waiting time for outpatient process: a retrospective cohort study. BMC Health Serv Res. 2021;21(1):237. https://doi.org/10.1186/s12913-021-06248-z
25. Muller V, Bostom N. Future progress in artificial intelligence: a survey of expert opinion. AI Matters. 2016;1(1):553-571.
26. European Commission Report. Artificial intelligence: first quantitative study of its kind find uptake by business across Europe is on the rise. 2020.
27. Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94-98. https://doi.org/10.7861/futurehosp.6-2-94
28. Samyukatha PS, Geetha RV. Awareness and knowledge about AI in healthcare among doctors: a survey. Clinical Nursing Studies. 2020.
29. Bush J. How AI is taking the scut work out of health care. Harvard Business Review. 2018.
30. Rysavy M. Evidence-based medicine: A science of uncertainty and an art of probability. Virtual Mentor. 2013;15:4–8. https://doi.org/10.1001/virtualmentor.2013.15.1.fred1-1301
Published
Issue
Section
License
Copyright (c) 2023 Senthilkumar T, Tamilselvi Arumugam, Hariprasath Pandurangan, Karthikeyan Panjaiyan (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
