Journal of IMAB - Annual Proceeding (Scientific Papers)
Publisher: Peytchinski Publishing Ltd.
ISSN:
1312-773X (Online)
Issue:
2023, vol. 29, issue1
Subject Area:
Public Health
-
DOI:
10.5272/jimab.2023291.4839
Published online: 27 February 2023
Original article
J of IMAB. 2023 Jan-Mar;29(1):4839-4842
DIGITAL TRANSFORMATION OF THE MEDICAL EDUCATION
Antoan Shotarov


,
Department of Economics, Faculty of General Economics, University of national and world economy, Sofia, Bulgaria.
ABSTRACT:
Introduction: Digital transformation has drastically changed nearly every field of human life in the last couple of years. Education is not an exception. For many years changes in education have been happening at a very slow pace, but in the 21stcentury, this has changed. Some of the most important shifts in the field of medical education are related to the inclusion of AI and VR in the training of students.
Aim: The article aims to analyze some of the most important effects that digital transformation has on medical education.
Material and methods: The author used theoretical and practical scientific methods. Important and impactful articles related to the topic are analyzed.
Results: The results of the research undoubtedly show the great importance that innovative techniques, methods, and tools, created thanks to the digital transformation, have on medical education.
Conclusion: Medical students could benefit vastly from the inclusion of AI and VR in their curriculum. Thus, they will not only be eased in their daily work when they become doctors but they will be ready for the upcoming changes in the medical field as well.
Keywords: medical education, innovation, digital transformation, artificial intelligence (AI), virtual reality (VR),
- Download FULL TEXT /PDF 563 KB/
Please cite this article as: Shotarov A. Digital transformation of the medical education. J of IMAB. 2023 Jan-Mar;29(1):4839-4842. DOI: 10.5272/jimab.2022281.4839
Correspondence to: Assistant Antoan Shotarov, PhD, Department of Economics, Faculty of General Economics, University of national and world economy, Sofia; 8th of December Str., Students Town, 1700, Sofia, Bulgaria; E-mail: antoan.shotarov@unwe.bg
REFERENCES:
1. Schwab K. The Fourth Industrial Revolution. What it Means and How to Respond. Foreign Affairs. December 12, 2015. [Internet]
2. Shotarov A. [Digitalization During a Pandemic] [in Bulgarian] Research Papers of UNWE. 2021; issue 4:157-168. [Internet]
3. Civaner MM, Uncu Y, Bulut F, Chalil EG, Tatli A. Artificial intelligence in medical education: a cross-sectional needs assessment. BMC Med Educ. 2022 Nov 9;22(1):772. [PubMed]
4. What is artificial intelligence in medicine? Machine learning can help process medical data and give medical professionals important insights, improving health outcomes and patient experiences. IBM. [Internet]
5. Paranjape K, Schinkel M, Nannan Panday R, Car J, Nanayakkara P. Introducing Artificial Intelligence Training in Medical Education. JMIR Med Educ. 2019 Dec 3;5(2):e16048. [PubMed]
6. [Creation of a multidisciplinary educational environment for the development of personnel with integral competences in the field of biomedicine and health care.] [in Bulgarian] Project No. BG05M20P001-2.016-0025. MU-Varna. 2021. [Internet]
7. Densen P. Challenges and opportunities facing medical education. Trans Am Clin Climatol Assoc. 2011; 122:48-58. [PubMed]
8. Alper BS, Hand JA, Elliott SG, Kinkade S, Hauan MJ, Onion DK, et al. How much effort is needed to keep up with the literature relevant for primary care? J Med Libr Assoc. 2004 Oct;92(4):429-37. [PubMed]
9. Dalen JE, Ryan KJ, Alpert JS. Where Have the Generalists Gone? They Became Specialists, Then Subspecialists. Am J Med. 2017 Jul;130(7):766-768. [PubMed]
10. Pottle J. Virtual reality and the transformation of medical education. Future Healthc J. 2019 Oct;6(3):181-185. [PubMed]
11. Lasater K. High-fidelity simulation and the development of clinical judgment: students' experiences.J Nurs Educ. 2007 Jun;46(6):269-76. [PubMed]
12. Lee J, Oh PJ. Effects of the Use of High-Fidelity Human Simulation in Nursing Education: A Meta-Analysis.J Nurs Educ. 2015 Sep;54(9):501-7. [PubMed]
13. Issenberg SB, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach. 2005 Jan;27(1):10-28. [PubMed]
14. Hicks FD. Report of Findings from the Effect of High-fidelity Simulation on Nursing Students' Knowledge and Performance: A Pilot Study. Volume 40. NCSBN. 2009. 27p. [Internet]
15. Dieckmann P, Gaba D, Rall M. Deepening the theoretical foundations of patient simulation as social practice. Simul Healthc. 2007 Fall;2(3):183-93. [PubMed]
Received: 11 December 2022
Published online: 27 February 2023
back to Online Journal