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Introduction <p>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.</p> Results <p>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).</p> Conclusion <p>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.</p>

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A Needs Assessment To Support the Development of a Health Informatics and AI Curriculum for Undergraduate Medical Students

  • 期刊论文

  • 发表日期：

    2025年12月22日

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  • Nelumdini Samaranayake,
  • Amany K. Hassan,
  • Linda Nelson,
  • Janet Lieto

摘要

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.