The Journal of the Convergence on Culture Technology (문화기술의 융합)

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
권호 표지
DOI QR코드

DOI QR Code

Artificial Intelligence on Nursing: A Scoping Review

간호에서의 인공지능연구: 주제범위 문헌고찰

  • 홍민주 (경상국립대학교 간호대학) ;
  • 신혜원 (이화여자대학교 간호학과) ;
  • 피정현 (이화여자대학교 간호대학)
  • Received : 2024.01.02
  • Accepted : 2024.02.01
  • Published : 2024.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study is a scoping review to identify the research trend on the awareness and use of artificial intelligence in the nursing field in South Korea. The methodological framework of Arskey and O'Malley was used, and studies published from 2010 to 2023 were analyzed. A total of 20 studies were used in the final review, and most of the descriptive studies were published in academic journals. The most relevant variables in artificial intelligence research were related to clinical nursing, and the literature topics were artificial intelligence recognition and readiness for the use of artificial intelligence, nursing adaptation, and artificial intelligence-related nursing ethics. This study systematically analyzed the current status of artificial intelligence in the nursing field in Korea and suggested the direction of further research. This study propose follow-up research to develop the capacity to utilize artificial intelligence in Korea's nursing clinical and educational sectors and to support its effectiveness.

본 연구는 국내 간호학 분야에서의 인공지능에 관한 인식 및 활용에 관한 연구의 동향을 파악하고, 인공지능 관련 후속 연구 방향을 제시하기 위하여 시행된 주제범위 문헌고찰 연구이다. Arskey와 O'Malley의 방법론적 기틀을 사용하였으며, 2010년부터 2023년까지 출판된 연구를 분석하였다. 최종 분석에 포함된 연구는 총 20편으로, 간호분야에서 인공지능 관련 연구는 2020년 이후에 증가하였으며, 국내 학술지에 발표된 서술적 연구가 대부분을 차지하였다. 인공지능 연구의 관련변수는 간호임상분야와 관련된 변수가 가장 많았으며, 문헌의 주제는 인공지능 인식 및 활용준비도, 간호적응, 인공지능 관련 간호윤리로 축약되었다. 본 연구는 국내 인공지능 연구 현황을 체계적으로 분석하고 추후 연구 방향을 제시했다는 데에 의의가 있다. 국내 간호 임상 및 교육 현장에서 인공지능을 활용할 수 있는 역량을 개발하고 그 효과를 확인하기 위한 후속연구를 제언한다.

Keywords

References

  1. S. Yoo, "A Study on Analysis Criteria for AI Service Impact Assessment,'' The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 23, No. 1, pp. 7-13, Feb 2023. https://doi.org/10.7236/JIIBC.2023.23.1.7 
  2. J.C. De Gagne, "The State of Artificial Intelligence in Nursing Education: Past, Present, and Future Directions,'' International Journal of Environmental Research and Public Health, Vol. 20, No. 6, pp. 4884, March 2023. https://doi.org/10.3390/ijerph20064884 
  3. G.J. Hwang, K.Y. Tang, Y.F. Tu, "How Aartificial Intelligence (AI) Ssupports Nursing Education: Profiling the Roles, Applications, and Trends of AI in Nursing Education Research (1993-2020),''Interactive Learning Environments, pp. 01-20, June 2022. https://doi.org/10.1080/10494820.2022.20 86579 
  4. J.M. Kim, "Study on intention and attitude of using artificial intelligence technology in healthcare,'' Journal of Convergence for Information Technology, Vol. 7, No. 4, pp. 53-60, Aug 2017. https://doi.org/10.22156/CS4SMB.2017.7.4.053 
  5. M. Teng, R. Singla, O. Yau, D. Lamoureux, A. Gupta, Z. Hu, T.S. Field, "Health Care Students' Perspectives on Artificial Intelligence: Countrywide Survey in Canada,'' JMIR medical education, Vol. 8, No. 1, e33390. Jan 2022. https://preprints.jmir.org/preprint/33390 
  6. Y.A. Song, H.J. Kim, H.K. Lee, "Nursing, Robotics, Technological Revolution: Robotics to Support Nursing Work,'' Journal of Korean Gerontological Nursing, Vol. 20, No. 1, pp. 144-153, Dec 2018. https://doi.org/10.17079/jkgn.2018.20.s1.s144 
  7. B.A. Swan, "Assessing the Knowledge and Attitudes of Registered Nurses about Artificial Intelligence in Nursing and Health Care,'' Nursing Economic$, Vol. 39, No. 3, pp. 139-143, June 2021.
  8. C. Buchanan, M.L. Howitt, R. Wilson, R.G. Booth, T. Risling, M. Bamford, "Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review,'' JMIR research protocols, Vol. 9, No. 4, e17490, April 2020. doi:10.2196/17490 
  9. C. Buchanan, M.L. Howitt, R. Wilson, R.G. Booth, T. Risling, M. Bamford, "Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review,'' JMIR nursing, Vol. 4, No. 1, e23933, Jan 2021. doi:10.2196/23933 
  10. Z.Q.N. Pamela, L.Y.J. Ling, H.S.J. Chew, Y. Lau, "The Role of Artificial Intelligence in Enhancing Clinical Nursing Care: A Scoping Review,'' Journal of nursing management, Vol. 30, No. 8, pp. 3654-3674, Nov 2022. https://doi.org/10.1111/jonm.13425 
  11. S.F. Mousavi Baigi, M. Sarbaz, K. Ghaddaripouri, M. Ghaddaripouri, A.S. Mousavi, K. Kimiafar, "Attitudes, Knowledge, and Skills towards Artificial Intelligence among Healthcare Students: A Systematic Review,'' Health Science Reports, Vol. 6, No. 3, e1138, March 2023. https://doi.org/10.1002/hsr2.1138 
  12. H. Arksey, L. O'Malley, "Scoping Studies: towards a Methodological Framework,'' International journal of social research methodology, Vol. 8, No. 1, pp. 19-32, Feb 2007. https://doi.org/10.1080/1364557032000119616 
  13. K. Ozan, C. Ayhan, D. Kadir, "Medical Artificial Intelligence Readiness Scale for Medical Students(MAIRS-MS) Development, validity and reliability study,'' BMC Medical Education, Vol. 21, pp. 112, Feb 2021. https://doi.org/10.1186/s12909-021-02546-6 
  14. D.P. Santos, D. Giese, S. Brodehl, S.H. Chon, W. Staab, R. Kleinert, D. Maintz, B. Baessler "Medical Students' Attitude towards Artificial Intelligence: A Multicentre Survey,'' European Radiology, Vol. 29, No. 4, pp. 1640-1646, July 2018. DOI:10.1007/s00330-018-5601-1 
  15. H. Lee, S.H. Park, C. Kim, S. Kim, J. Cha, "Survey of the Knowledge of Korean Radiology Residents on Medical Artificial Intelligence,'' Journal of the Korean Society of Radiology, Vol. 81, No. 6, pp. 1397-1411, Nov 2020. DOI:10.3348/jksr.2019.0179 
  16. L. Shinners, S. Grace, S. Smith, A. Stephens, "Exploring Healthcare Professionals' Perceptions of Artificial Intelligence: Piloting the Shinners Artificial Intelligence Perception Tool,'' Digital Health., Vol. 8, pp. 1-8, Dec 2022. https://doi.org/10.1177/20552076221078110. 
  17. V. Venkatesh, SV, M.G. Morris, G.B. Davis, F.D. Davis "User Acceptance of Information Technology: Toward a Unified View,'' MIS quarterly. Vol. 27, No. 3, pp. 425-478. Sep 2003. https://doi.org/10.2307/30036540 
  18. A. Parasuraman, "Technology Readiness Index (TRI) a Multiple-Item Scale to Measure Readiness to Embrace New Technologies,'' Journal of service research, Vol. 2, No. 4, pp. 307-320, May 2000. https://doi.org/10.1177/1094670500240 
  19. G.S. Kim, Y.J. Shin, "Study on the Development of a Test for Artificial Intelligence Ethical Awareness,'' J Korean Assoc Artif Intell Educ, Vol. 2, No. 1, pp. 1-19. March 2021. https://doi.org/10.52618/aied.2021.2.1.1 
  20. von Gerich, H., Moen, L.J. Block, C.H. Chu, H. DeForest, M. Hobensack, et al., "Artificial Intelligence-based Technologies in Nursing: A Scoping Literature Review of the Evidence,'' International journal of nursing studies, VoL. 127, March 2022. https://doi.org/10.1016/j.ijnurstu..2021.104153 
  21. S. Shorey, E. Ang, J. Yap, E.D. Ng, S.T. Lau, C.K. Chui, "A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study,'' Journal of medical Internet research, Vol. 21, No. 10, e14658. Oct 2019. doi:10.2196/14658 
  22. E. Kutafina, D. Laukamp, S.M. Jonas, "Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG,'' Stud Health Technol Inform, Vol. 211, pp. 286-2 1. May 2015. doi: 10.3233/978-1-61499-516-6-286 
  23. N.N. Jairath, C.J. Peden-McAlpine, M.C. Sullivan, J.A. Vessey, S.J. Henly, "Theory and theorizing in nursing science: Commentary from the Nursing Research special issue editorial team,'' Nursing Research, Vol. 67, No. 2, pp. 188-195, April 2018. doi: 10.1097/NNR.0000000000000273 
  24. American Association of Colleges of Nursing. "The Essentials: Core Competencies for Professional Nursing Education: 2021." American Association of Colleges of Nursing, Accessed November 20, 2023. https://www.aacnnursing.org/Portals/42/AcademicNursing/pdf/Essentials-2021.pdf