Healthc Inform Res.  2024 Jul;30(3):244-252. 10.4258/hir.2024.30.3.244.

Integration of Artificial Intelligence in Pediatric Education: Perspectives from Pediatric Medical Educators and Residents

Affiliations
  • 1Department of Child Health, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia
  • 2Department of Child Health, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
  • 3Department of Child Health, Faculty of Medicine, Universitas Andalas, Padang, Indonesia
  • 4Department of Child Health, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia
  • 5Department of Child Health, Faculty of Medicine, Universitas Diponegoro, Semarang, Indonesia
  • 6Department of Child Health, Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • 7Department of Child Health, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia
  • 8Department of Child Health, Faculty of Medicine, Universitas Lambung Mangkurat, Banjarmasin, Indonesia
  • 9Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Sumedang, Indonesia
  • 10Department of Child Health, Faculty of Medicine, Universitas Sam Ratulangi, Manado, Indonesia
  • 11Department of Child Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia
  • 12Department of Child Health, Faculty of Medicine, Universitas Sriwijaya, Palembang, Indonesia
  • 13Department of Child Health, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia
  • 14Department of Child Health, Faculty of Medicine, Universitas Syiah Kuala, Aceh, Indonesia
  • 15Department of Child Health, Faculty of Medicine, Universitas Udayana, Bali, Indonesia

Abstract


Objectives
The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum.
Methods
An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree.
Results
A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools.
Conclusions
The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.

Keyword

Artificial Intelligence, Information Technology, Curriculum, Medical Education, Health Personnel

Figure

  • Figure 1 Perceptions of reaching staff on information technology and artificial intelligencetechnology.

  • Figure 2 Perceptions of pediatric residents on information technology and artificial intelligencetechnology.


Reference

References

1. Yamin M. Information technologies of 21st century and their impact on the society. Int J Inf Technol. 2019; 11(4):759–66. https://doi.org/10.1007/s41870-019-00355-1.
Article
2. Knake LA. Artificial intelligence in pediatrics: the future is now. Pediatr Res. 2023; 93(2):445–6. https://doi.org/10.1038/s41390-022-01972-6.
Article
3. Li YW, Liu F, Zhang TN, Xu F, Gao YC, Wu T. Artificial intelligence in pediatrics. Chin Med J (Engl). 2020; 133(3):358–60. https://doi.org/10.1097/cm9.0000000000000563.
Article
4. Sisk BA, Antes AL, Burrous S, DuBois JM. Parental attitudes toward artificial intelligence-driven precision medicine technologies in pediatric healthcare. Children (Basel). 2020; 7(9):145. https://doi.org/10.3390/children7090145.
Article
5. Muralidharan V, Burgart A, Daneshjou R, Rose S. Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI. NPJ Digit Med. 2023; 6(1):166. https://doi.org/10.1038/s41746-023-00898-5.
Article
6. Caparros Galan G, Sendra Portero F. Medical students’ perceptions of the impact of artificial intelligence in radiology. Radiologia (Engl Ed). 2022; 64(6):516–24. https://doi.org/10.1016/j.rxeng.2021.03.008.
Article
7. Wood EA, Ange BL, Miller DD. Are we ready to integrate artificial intelligence literacy into medical school curriculum: students and faculty survey. J Med Educ Curric Dev. 2021; 8:23821205211024078. https://doi.org/10.1177/23821205211024078.
Article
8. Jha N, Shankar PR, Al-Betar MA, Mukhia R, Hada K, Palaian S. Undergraduate medical students’ and interns’ knowledge and perception of artificial intelligence in medicine. Adv Med Educ Pract. 2022; 13:927–37. https://doi.org/10.2147/amep.s368519.
9. MacNevin W, Poon E, Skinner TA. Technology readiness of medical students and the association of technology readiness with specialty interest. Can Med Educ J. 2021; 12(2):e31–41. https://doi.org/10.36834/cmej.70624.
Article
10. Truong NM, Vo TQ, Tran HT, Nguyen HT, Pham VN. Healthcare students’ knowledge, attitudes, and perspectives toward artificial intelligence in the southern Vietnam. Heliyon. 2023; 9(12):e22653. https://doi.org/10.1016/j.heliyon.2023.e22653.
Article
11. Wartman SA, Combs CD. Reimagining medical education in the age of AI. AMA J Ethics. 2019; 21(2):E146–52. https://doi.org/10.1001/amajethics.2019.146.
Article
12. Imran N, Jawaid M. Artificial intelligence in medical education: are we ready for it? Pak J Med Sci. 2020; 36(5):857–9. https://doi.org/10.12669/pjms.36.5.3042.
Article
13. Wartman SA, Combs CD. Medical education must move from the information age to the age of artificial intelligence. Acad Med. 2018; 93(8):1107–9. https://doi.org/10.1097/acm.0000000000002044.
Article
14. Paranjape K, Schinkel M, Nannan Panday R, Car J, Nanayakkara P. Introducing artificial intelligence training in medical education. JMIR Med Educ. 2019; 5(2):e16048. https://doi.org/10.2196/16048.
Article
15. van der Niet AG, Bleakley A. Where medical education meets artificial intelligence: ‘does technology care?’. Med Educ. 2021; 55(1):30–6. https://doi.org/10.1111/medu.14131.
16. Civaner MM, Uncu Y, Bulut F, Chalil EG, Tatli A. Artificial intelligence in medical education: a cross-sectional needs assessment. BMC Med Educ. 2022; 22(1):772. https://doi.org/10.1186/s12909-022-03852-3.
Article
17. Grunhut J, Wyatt AT, Marques O. Educating future physicians in artificial intelligence (AI): an integrative review and proposed changes. J Med Educ Curric Dev. 2021; 8:23821205211036836. https://doi.org/10.1177/23821205211036836.
Article
18. McCoy LG, Nagaraj S, Morgado F, Harish V, Das S, Celi LA. What do medical students actually need to know about artificial intelligence? NPJ Digit Med. 2020; 3:86. https://doi.org/10.1038/s41746-020-0294-7.
Article
19. Caliskan SA, Demir K, Karaca O. Artificial intelligence in medical education curriculum: an e-Delphi study for competencies. PLoS One. 2022; 17(7):e0271872. https://doi.org/10.1371/journal.pone.0271872.
Article
20. Pinto Dos Santos D, Giese D, Brodehl S, Chon SH, Staab W, Kleinert R, et al. Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019; 29(4):1640–6. https://doi.org/10.1007/s00330-018-5601-1.
21. Chan KS, Zary N. Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR Med Educ. 2019; 5(1):e13930. https://doi.org/10.2196/13930.
Article
22. Hansun S. Medical informatics in Indonesia: importance, development, and future directions. TEM J. 2021; 10(1):78–81.
Article
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