Telehealth and Precision Prevention: Bridging the Gap for Individualised Health Strategies. Review uri icon

Overview

abstract

  • INTRODUCTION: 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.

publication date

  • April 8, 2025

Research

keywords

  • Cardiovascular Diseases
  • Precision Medicine
  • Telemedicine

Identity

PubMed Central ID

  • PMC12020635

Scopus Document Identifier

  • 105003210094

Digital Object Identifier (DOI)

  • 10.1055/s-0044-1800720

PubMed ID

  • 40199290

Additional Document Info

volume

  • 33

issue

  • 1