Manuscript Title:

HOW MEDICAL EDUCATION WILL EVOLVE IN THE ERA OF ARTIFICIAL INTELLIGENCE?

Author:

QUNDEEL ZAHRA, REHAN AHMED KHAN, FATIMA ASLAM, RABIA KHURRAM, UNAIZA JAWAD, AMBREEN TAUSEEF

DOI Number:

DOI:10.5281/zenodo.8375444

Published : 2023-09-23

About the author(s)

1. QUNDEEL ZAHRA - MBBS, FCPS, MHPE, Associate Professor, Department of Ophthalmology, Azra Naheed Medical College, Superior University, Lahore.
2. REHAN AHMED KHAN- MBBS, FCPS, FRCS, MHPE, PhD, Medical Education, Professor of Surgery, Dean, Riphah Institute of Assessment, Islamic International Medical College, Riphah International University, Rawalpindi, Pakistan.
3. FATIMA ASLAM - MBBS, MPhil, MHPE, Assistant Professor, Department of Medical Education, University of Health Sciences, Lahore.
4. RABIA KHURRAM - MBBS, MHPE, Assistant Director, Department of Medical Education, Muhammad Islam Medical & Dental College, Gujranwala.
5. UNAIZA JAWAD - MBBS, MPhil, Associate Professor, Department of Behavioural Sciences Rashid Latif Medical College, Lahore.
6. AMBREEN TAUSEEF - MBBS, M.Phil., PhD, Professor, Department of Physiology, CMH Lahore Medical College & Institute of Dentistry, Lahore.

Full Text : PDF

Abstract

Introduction: In the middle of twentieth century, Artificial intelligence (AI) surfaced as an imminent and vigorous technology that seized the attention of people from every walk of life including medical education. The artificial intelligence-based advancements with regards to the healthcare technology and medical education are at an exceptional stride. Taking into consideration these rapid and dynamic changes medical faculty will have to draw its attention in teaching and incorporating this technology in practice on a larger scale. Methods: Fifteen faculty members from different medical specialties were selected via purposive convenient sampling method. Semi-structured telephonic interviews were conducted with prior appointments and informed consent. A qualitative thematic analysis was done by transcribing the interviews and then generating codes, subthemes, and themes. Results: A total of 389 codes were generated in the first cycle of coding, that were further merged in to 19 codes in the second cycle. These codes led to six final themes. The first two themes were about the concepts and applications of artificial intelligence in different domains of healthcare and medical education. The other themes emphasized on the ethical issues related to the use of AI in healthcare system. Participants believed that artificial intelligence will influence the roles of many health professionals. They put strong emphasis on teaching the basic concepts of artificial intelligence in undergraduate medical curriculum. Conclusion: The study highlights the acceptance and current utilization of artificial intelligence in the medical profession. It focuses on the necessity to understand artificial intelligence and its role and, the urgency to implement necessary changes in the medical education, and to prepare the doctors for embracing AI dominated medical practice in healthcare.


Keywords

Artificial Intelligence, Machine Learning, Medical Education, Medical Curriculum.