Date of Award

5-2024

Degree Type

Thesis

Degree Name

Master of Health Professions Education

First Advisor

Dr.Sana Saeed

Second Advisor

Dr. Azam Afzal

Third Advisor

Lubna Ansari Baig

Department

Community Health Sciences

Abstract

Background: In the realm of health professions education, the integration of artificial intelligence (AI) represents a crucial frontier with transformative possibilities. AI's role in health professions education spans across various domains including but not limited to personalized learning experiences. However, concerns regarding data privacy, ethical considerations, and the establishment of regulatory frameworks present significant obstacles to the seamless integration of AI in medical education. This study aims to bridge this gap by conducting a comprehensive need assessment for the integration of AI in medical education.
Method: This is a mixed-method study, conducted at Liaquat National Hospital & Medical College, Karachi, Pakistan. The quantitative arm of the study is based on a cross sectional survey administered on undergraduate medical students and faculty members while the qualitative arm was based on in-depth exploration of the participant’s opinions through focused group discussions and in-depth interviews. Quantitative analysis was done using SPSS version 23 while qualitative data underwent thematic analysis using NVivo.
Result: In the survey, 83 faculty (53 females, 30 males) and 153 students (109 females, 44 males) participated. 64% of faculty and 49% of students claimed AI knowledge. 49% of faculty and 34.6% of students supported AI integration in medical curriculum. Only 37.3% of faculty and 28% of students felt confident in iv using AI for teaching. IDIs and FGDs yielded six themes, that is, Artificial intelligence in medical education, benefits and limitations of AI in medical education, educational integration of AI, ethical and moral considerations, institutional factors and support, and barriers to AI integration and future recommendations.
Conclusion: This study showed faculty and students' enthusiasm for AI in medical education, driven by its teaching benefits. Yet, ethical concerns, including data privacy, demand attention. Collaboration is vital to develop an ethical and effective AI curriculum for future physicians.

First Page

13

Last Page

114

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