OVERVIEW OF PROACTIVE HEALTHCARE: THE ROLE OF MEDICINE 3.0 AND 5P MEDICINE IN PREVENTION AND EARLY INTERVENTION
Objective: 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. Method: 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. Results: Medicine 3.0 marks a shift from reactive disease management to 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 implementation relies 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. Conclusion: The shift towards proactive, personalized healthcare through Medicine 3.0 and 5P Medicine holds significant potential for improving patient outcomes and reducing chronic disease burdens. However, successful implementation requires collaboration among healthcare professionals, technology developers, policymakers, and patients to overcome barriers and optimize healthcare delivery.
Authors
- Van Anh Vu
- Thomas S. Hoang (ORCID: https://orcid.org/0000-0003-1282-734X)
- Ba Kien Tran (ORCID: https://orcid.org/0000-0001-7775-8360)
- Niki Vincent (ORCID: https://orcid.org/0000-0002-9812-9261)
- Nye Thane Ngo (ORCID: https://orcid.org/0000-0003-2419-0817)
Institutions
- Vietnam Academy of Social Sciences (VN)
- Hue University (VN)
- University of Hai Duong (VN)
- ID Genomics (United States) (US)
Publication Details
- Journal
- Tạp chí Y học Việt Nam
- Published
- 2025-04-29
- DOI
- https://doi.org/10.51298/vmj.v550i1.13897
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00