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A Needs Assessment To Support the Development of a Health Informatics and AI Curriculum for Undergraduate Medical
Nelumdini Samaranayake1, Amany K Hassan1, Linda Nelson1
1Department of Medical Education & Health Systems Science, Texas College of Osteopathic Medicine, University of North Texas Health, 3500 Camp Bowie Blvd., Fort Worth, TX 76107 USA.
Introduction:
The integration of artificial intelligence (AI) and augmented intelligence (AuI) in health informatics enhances clinical decision-making by supporting transparency, efficiency, and data-informed care. This study aims to measure the perceived need for novel health informatics and AI curriculum among medical students. This is a cross-sectional survey study. An electronic needs-assessment survey was administered to medical students in a single undergraduate medical program. The survey measured perceived value and interest in different health informatics, AI, and AuI areas outlined in a novel longitudinal curriculum. The curriculum design applies the Master Adaptive Learner (MAL) model and experiential learning theory.
Results:
The assessment revealed strong student interest in learning about the use of health informatics and AI in health care and clinical decision-making. Top areas included electronic health records (EHRs) (88%), evidence-based medicine (85%), and telemedicine (83%). Students preferred case studies and simulations as learning activities (70% and 69%, respectively).
Conclusion:
The needs assessment showed a strong interest in learning a variety of topics in health informatics, AI, and AuI. The students had a strong preference for experiential and practice-based learning activities. These results can help medical programs design new curricula in this area.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s40670-025-02608-0.
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