Mô tả

This study aims to explore the integration of 5P Medicine (Predictive, Preventive, Personalized, Participatory, and Precision) within the proactive healthcare model of Medicine 3.0. By focusing on preventive strategies and patient-centered approaches, it examines how advanced technologies, data analytics, and personalized interventions can improve healthcare outcomes.

A comprehensive review of literature and current research on 5P Medicine, Medicine 3.0, and their applications in preventive healthcare was conducted. Key sources included peer-reviewed journals, books, and industry reports discussing technological advancements, patient engagement, and systemic healthcare transitions.

Medicine 3.0 marks a shift from reactive disease managementto proactive health promotion and prevention. The 5P Medicine model (Predictive, Preventive, Personalized, Participatory, and Precise) provides a structured framework for early diagnosis, targeted prevention, and personalized treatment. Its implementationrelies on data collection, advanced analysis, patient engagement, and precise monitoring. With broad applications in cardiovascular care, cancer prevention, diabetes management, mental health, and aging support, 5P Medicine requires interoperability standards like ISO 23903 for secure data sharing. However, challenges such as data security, cost, and ethical concerns must be addressed for successful adoption.