The Frontiers of Society, Science and Technology, 2024, 6(2); doi: 10.25236/FSST.2024.060209.
Jian Huang1, Yuanyuan Wei2, Dongling Liang3
1Deans Office, Youjiang Medical University for Nationalities, 98 Chengxiang Road, Youjiang District, Baise, 533000, China
2Clinical Medicine Student of the Grade 2019, Youjiang Medical University for Nationalities, 98 Chengxiang Road, Youjiang District, Baise, 533000, China
3Radiology Department, People's Hospital of Baise, 98 Chengxiang Road, Youjiang District, Baise, 533000, China
The infusion of artificial intelligence (AI) into healthcare promises to redefine the role and training of general practitioners (GPs). This paper comprehensively reviews the current approaches and devises countermeasures for general practitioner training, considering the transformative influence of AI technologies. It evaluates the impact on diagnostics, decision-making, and the human elements of practice, and addresses ethical and legal challenges. Furthermore, it anticipates future directions for AI integration, emphasizing the need for innovative training methods and the reinforcement of human-AI collaboration in primary care.
General Practitioner Training, Artificial Intelligence, Healthcare
Jian Huang, Yuanyuan Wei, Dongling Liang. Approaches and countermeasures of general practitioner training under the background of artificial intelligence. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 2: 58-69. https://doi.org/10.25236/FSST.2024.060209.
[1] JUSSUPOW E, SPOHRER K, HEINZL A, et al. Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence [J]. Information Systems Research, 2021, 32(3): 713-735.
[2] HUANG J. Prediction of Emotional Tendency of COVID-19 Speech Based on Pre-training Model; proceedings of the 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021, June 18, 2021 - June 20, 2021, Chongqing, China, F, 2021 [C]. Institute of Electrical and Electronics Engineers Inc.
[3] LIYANAGE H, LIAW S T, JONNAGADDALA J, et al. Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges [J]. Yearb Med Inform, 2019, 28(1): 41-46.
[4] BLEASE C, LOCHER C, LEON-CARLYLE M, et al. Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey [J]. Digit Health, 2020, 6: 2055207620968355.
[5] SHINNERS L, AGGAR C, GRACE S, et al. Exploring healthcare professionals’ understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review [J]. Health Informatics Journal, 2020, 26(2): 1225-1236.
[6] GUAN L, LI W, GUO C, et al. Environmental strategy for sustainable development: Role of digital transformation in China's natural resource exploitation [J]. Resources Policy, 2023, 87.
[7] SUMMERTON N, CANSDALE M. Artificial intelligence and diagnosis in general practice [J]. British Journal of General Practice, 2019, 69(684): 324-335.
[8] JIAN H, DONGLING L, ZHONGHENG W. Reflection on the Training of General Medical Students in China from the Development History of General Medicine in Australia and Other Countries*; proceedings of the Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019), F 2020/02/14, 2020 [C]. Atlantis Press.
[9] HUANG J, WEI Y, LIANG D. A Fusion Approach of Multimodality Medical Image with Deep Neural Network; proceedings of the 10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022, June 17, 2022 - June 19, 2022, Chongqing, China, F, 2022 [C]. Institute of Electrical and Electronics Engineers Inc.
[10] HUANG J, WEI Y, LIANG D. A Deep Neural Network for Fusion with Medical Image Pair; proceedings of the 2nd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021, December 17, 2021 - December 19, 2021, Chongqing, China, F, 2021 [C]. Institute of Electrical and Electronics Engineers Inc.
[11] HUANG J, LIANG D. COVID-19 CT Image Classification and Pneumonia Lesions Segmentation Using Deep Learning; proceedings of the 3rd International Conference on Applied Machine Learning, ICAML 2021, July 23, 2021 - July 25, 2021, Changsha, China, F, 2021 [C]. Institute of Electrical and Electronics Engineers Inc.
[12] KOCABALLI A B, IJAZ K, LARANJO L, et al. Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners [J]. J Am Med Inf Assoc, 2020, 27(11): 1695-1704.
[13] JIAN H, DONGLING L. Analysis of Problems and Causes in the Design and Application of Classroom Teaching Courseware in Medical Colleges and Universities; proceedings of the Proceedings of the 4th International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2019), F 2019/07, 2019 [C]. Atlantis Press.
[14] JIAN H. Application of the System of One Major Tutor and Several Assistant Tutors Combined with PBL Teaching Method in the Normalized Training of General Practitioners; proceedings of the Proceedings of the 2nd International Conference on Economy, Management and Entrepreneurship (ICOEME 2019), F 2019/06, 2019 [C]. Atlantis Press.
[15] LIAW S, TAN J, LIM S, et al. Artificial intelligence in virtual reality simulation for interprofessional communication training: Mixed method study [J]. Nurse Education Today, 2023, 122: 105718.