A non-invasive measurement and digital monitoring infrastructure for early detection of health trends

Program Objective and Strategic Role

The National Biosensor and Digital Health Monitoring Program aims to establish a nationwide, non-invasive health monitoring infrastructure that uses biosensor-based measurements and digital data processing to enable the continuous observation of health trends, physiological load, and early deviations.

The program is neither diagnostic nor therapeutic. Its role is to:

• – make unfavorable health trajectories detectable at an early stage,
• – support prevention and lifestyle-based interventions,
• – provide a data-driven foundation for institutional and national-level decision-making.

Core Program Logic

The system treats health as a continuously evolving state, placing emphasis on longitudinal trends rather than single-point measurements.

Three integrated levels:

1. Individual Level – Personal State Monitoring

• – home-based and wearable biosensor devices
• – regular, non-invasive measurements
• – feedback relative to individual baseline states

2. Institutional Level – Aggregated Observation

• – analysis of anonymized, aggregated datasets
• – identification of regional and demographic health trends
• – support for targeted prevention initiatives

3. National Level – Strategic Planning

• – data-informed health policy development
• – long-term reduction of healthcare system load
• – stabilization of national digital health infrastructure

Technological and Operational Components

Biosensor Measurement Layer:

• – proxy measurements related to stress, inflammation, and metabolic load
• – validated, non-invasive sensor technologies
• – collection of longitudinal time-series data

Digital Data Processing:

• – noise filtering and normalization
• – trend and pattern analysis
• – generation of comparable population-level indicators

Data Security and Ethics:

• – voluntary participation based on informed consent
• – full anonymization and aggregation
• – transparent and accountable data governance frameworks

Program Phases (2–6 Years)

Phase 1 – Pilot and Technology Validation (Years 1–2)

• – limited regional or institutional pilot deployment
• – testing of measurement and data-processing models
• – collection of public and institutional feedback

Phase 2 – Regional Expansion (Years 3–4)

• – inclusion of multiple regions
• – creation of comparable health-trend databases
• – support for region-specific prevention programs

Phase 3 – Nationwide Operation (Years 5–6)

• – stable, nationwide health monitoring system
• – regular national health trend reports
• – continuous strategic decision support

Institutional Stakeholders

• – public health and healthcare institutions
• – digital government and smart city programs
• – insurance and prevention-focused organizations
• – universities and research institutes
• – sensor technology and digital health partners

Expected Societal and Economic Impact

• – early detection of adverse health trends → fewer chronic conditions
• – reduced long-term healthcare burden
• – more efficient and targeted prevention strategies
• – increased digital health awareness
• – sustained healthcare cost savings

Alignment with the AVA Development Framework

Within this program, AVA operates as an analytical and coordinating intelligence layer, supporting:

• – structuring and interpretation of biosensor-derived data,
• – identification of trends and anomalies,
• – guidance for prevention strategies and long-term planning.

The National Biosensor and Digital Health Monitoring Program thus completes and stabilizes the national Bio–Nano and health-technology program portfolio, providing a solid foundation for future large-scale health ecosystem initiatives.