1MHPE Scholar, Institute of Health Professional Education, Sri Balaji Vidyapeeth, Pondicherry, India. Email: nazargimahabob@yahoo.com
2MHPE Scholar, Institute of Health Professional Education, Sri Balaji Vidyapeeth, Pondicherry, India. Email: minurekha.b@gmail.com
3MHPE Scholar, Institute of Health Professional Education, Sri Balaji Vidyapeeth, Pondicherry, India. Email: sangeetha6482@gmail.com
*Corresponding Author: Dr.M.Nazargi Mahabob MDS,MBA (AI&ML),PhD,.. MHPE Scholar, Institute of Health Professional Education, Sri Balaji Vidyapeeth, Pondicherry, India. Email: nazargimahabob@yahoo.com
Received: 12th Dec, 2025; Revised: 12th Feb 2026; Accepted: 13th Feb, 2026; Available Online: 10th March, 2026
Artificial intelligence (AI) is rapidly transforming the landscape of health professions education (HPE), offering new possibilities for data-driven curriculum review and design. Traditional curriculum evaluation methods often rely on manual mapping, subjective interpretation, and delayed feedback cycles, which limit precision and responsiveness to evolving healthcare needs. In contrast, AI enables continuous, evidence-informed curriculum reform through data mining, learning analytics, and predictive modeling.
This review explores how AI can revolutionize curriculum review and design by automating data collection, analyzing complex educational datasets, and forecasting future competency requirements. Using a narrative synthesis of literature from 2015 to 2025, it highlights the role of AI in mapping learning outcomes, identifying redundancies, assessing content alignment, and guiding competency-based curriculum adjustments.
Data mining tools and natural language processing (NLP) systems can process large volumes of curricular documents and student performance data to reveal hidden patterns, while predictive analytics can anticipate emerging skill demands—such as AI literacy, telemedicine, and digital ethics—and guide timely curriculum integration. A comparative analysis between manual and AI-based curriculum review methods demonstrates AI demonstrates advantages in scalability, consistency, and real-time adaptability and real-time adaptability. However, ethical challenges—such as data privacy, algorithmic bias, and faculty readiness—must be addressed to ensure responsible implementation. The paper proposes a conceptual AI-integrated curriculum review framework emphasizing human–AI collaboration, where educators retain oversight while AI supports decision-making through continuous analytics and evidence-based insights.
Integrating AI into curriculum review and design establishes a foundation for continuous quality improvement, institutional agility, and future-oriented education. As health professions evolve in the digital era, AI-driven curriculum governance offers an essential pathway toward producing competent, adaptive, and ethically grounded healthcare professionals.
Keywords: Artificial Intelligence; Curriculum Review; Curriculum Design; Competency-Based Education; Data Mining; Health Professions Education; Learning Analytics; Predictive Analytics.
How to cite this article: Mahabob MN, Reka M, Kandasamy S. Harnessing Artificial Intelligence for Curriculum Review and Design in Health Professions Education: A Paradigm Shift Toward Data-Driven Reform. Int J Drug Deliv Technol. 2026;16(16s): 607-615. DOI: 10.25258/ijddt.16.16s.67
Source of support: Nil.
Conflict of interest: None