Platform for Healthcare Promotion and Cardiovascular Disease Prevention

Area of Science:

• Biomedical Engineering
• Health Informatics
• Artificial Intelligence in Healthcare

Background:

• Cardiovascular diseases necessitate continuous monitoring and early intervention strategies.
• Existing healthcare systems often lack integration and scalability for diverse point-of-care needs.
• The demand for secure, remote patient monitoring solutions is increasing.

Purpose of the Study:

• To present the hardware-software design and implementation of an open, integrated, and scalable healthcare platform.
• To enable multiple point-of-care scenarios for healthcare promotion and cardiovascular disease prevention.
• To provide a secure, end-to-end solution for remote patient monitoring and health supervision.

Main Methods:

• Development of an open, integrated, and scalable hardware-software healthcare platform.
• Integration of biomedical data from various health-point cares.
• Implementation of artificial intelligence (AI) and deep-learning algorithms for data analysis.
• Incorporation of cybersecurity measures for secure data transmission and storage.

Main Results:

• The platform facilitates continuous patient monitoring and extended device integration.
• AI-driven analysis of integrated biomedical data aids in cardiovascular risk detection.
• The system supports remote supervision by doctors, hospital triage, and personal self-care.
• The architecture enables epidemiological profiling and intervention strategy implementation.

Conclusions:

• The developed platform is a robust tool for cardiovascular disease prevention and healthcare promotion.
• Its integrated and scalable design supports diverse point-of-care applications.
• The use of AI and secure architecture ensures effective remote patient monitoring and risk assessment.