Lau ECHRajput VKHunter IFlorez-Arango JFRanatunga PVeil KDKulatunga GGogia SKuziemsky CIto MIqbal UJohn SIyengar SRamachandran ABasu A2025-05-202025-05-202024-08-01Lau ECH, Rajput VK, Hunter I, Florez-Arango JF, Ranatunga P, Veil KD, Kulatunga G, Gogia S, Kuziemsky C, Ito M, Iqbal U, John S, Iyengar S, Ramachandran A, Basu A. (2024). Telehealth and Precision Prevention: Bridging the Gap for Individualised Health Strategies. Yearbook of medical informatics. 33. 1. (pp. 64-69).0943-4747https://mro.massey.ac.nz/handle/10179/72914INTRODUCTION: Precision prevention has shown an upsurge in popularity among epidemiologists in both developed and developing countries in the past decade. OBJECTIVES: Initially practiced in oncology, this approach is increasingly adopted in public health to guard against other common non-communicable diseases (NCDs), such as diabetes and cardiovascular diseases. It aims to tailor preventive measures according to each individual's unique characteristics, such as genomic data, socio-demographic features, environmental factors, and cultural background. METHODS: Healthcare information technologies, including telehealth and artificial intelligence (AI), have served as a vital catalyst in the expansion of this field in the past decade. Under this framework, real-time contemporaneous clinical data is collected via a wide range of digital health devices, such as telehealth monitors, wearables, etc., and then analyzed by AI or non-AI prediction models, which then generate preventive recommendations. RESULTS: The utilization of telehealth technologies in the precision prevention of cardiovascular diseases (CVDs) is a very illustrative application. This paper explores these topics as well as certain limitations and unintended consequences (UICs) and outlines telehealth as a core enabler of precision prevention as well as public health.(c) 2024 The Author/sCC BY 4.0https://creativecommons.org/licenses/by/4.0/PrecisionPreventionTelehealthJournal article10.1055/s-0044-18007202364-0502journal-article64-69