Implications of Artificial Intelligence (AI) on Dynamics of Medical Education and Care: A Perspective
Open accessAbstract
Artificial Intelligence (AI) applies to the development of systems endowed with the intellectual processes characteristic of humans. The AI era is likely to profoundly impact present system of Health care. Large data storing, processing and its interpretation through Electronic Medical records (EMRs) indicate great potential benefit to health services. Devices are likely to outperform humans, more so cognitively; and coming to terms with this fact require physicians to brace themselves to practice in a technologically enhanced environment. In near future, AI is likely to take a central place in health care with everything revolving round its mechanics. The era of AI envisages new roles of a physician and health professionals should realise the importance of being efficient in interacting with these machines in an efficient manner. Patient psychology and empathy shall take a central place in patient care and budding doctors should be braced with such relevant competencies. Accordingly, AI needs to find a suitable place within the curriculum of medical education that deals with technology, interactive learning environments and managing AI systems. It is also imperative that medical teachers realise the potential of AI on health care and are suitably equipped to train these emerging concepts to future doctors.
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Medical educationists throughout the world are of the view that a reboot of medical education and curriculum shift from "Knowledge acquisition" to emphasis on "Knowledge management and communication" is needed to address the emerging challenges of 21st century.
“Medical educationists throughout the world are of the view that a reboot of medical education and curriculum shift from “Knowledge acquisition” to emphasis on “Knowledge management and communication” is needed to address the emerging challenges of 21st century.39,45”
From Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes (2021) · cites this paper as [45]
Currently, the state of AI in medical education is in its infancy and speculative stages.
“Currently, the state of AI in medical education is in its infancy and speculative stages [13-16].”
From Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum (2022) · cites this paper as [16]
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“39,45 Furthermore, with the increasing integration of big data and AI in professional practice there is a gap in physician knowledge in the matter.”
BackgroundNeeds, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum
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- Authors
- Srivastava, T. K., & Waghmare, L.
- Affiliations
- Datta Meghe Institute of Higher Education and Research (IN)
- Venue
- JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
- Publisher
- JCDR Research and Publications
- Published
- 2020
- ISSN
- 0973-709X (ISSN-L)
- 2249-782X
- OpenAlex
- W3013251313
- Cited by
- 29
- References
- 0
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 8 · 2023: 6 · 2022: 3 · 2021: 6
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- artificial intelligence in healthcare, medical education, electronic health records, patient empathy, medical curriculum, medical faculty, future of health care
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