DHU Radar

Decision Support Algorithm Based on the Concentrations of Air Pollutants Visualization to act for a better quality of life

Keywords: Asthma, Behavior Change, Chronic Obstructive Pulmonary Disease (COPD), Digital health tools
Digital solution and service (e.g. application/digital health portal/platform/AI based system/etc.)
Short description
What is the practice about? The practice is about transforming raw environmental data collected by sensors into a format that is easily understood by the average user. This is achieved by implementing a decision support algorithm in a solution named “Environmental Sensing to Act for a Better Quality of Life: Smart Health”. The solution considers three parameters: PM10, PM2.5, and NO2 concentrations, and it assigns one of four risk levels to each. The algorithm also calculates the Air Quality Index (AQI) for each parameter. When was it developed and by whom? This solution has been developed by BEIA Consult International during the research activities of ITEA Establish project https://itea4.org/project/establish.html What is the intended audience / target group? The intended audience is the general public, specifically individuals who are interested in self-monitoring and adapting to their environment based on the quality of the air. How should the practice be used / how does it function? The practice functions by collecting raw environmental data from sensors and transforming it into an easy-to-understand format through a decision support algorithm. The algorithm calculates the AQI for each parameter, then assigns a risk level. The results are presented in a front-end interface where users can see the measurements and the suggestions provided by the decision support system. Who might be interested in learning about or wish to use / apply it? Individuals who are concerned about air quality and its impact on their health may be interested in this practice. This could include the general public, environmental scientists, health professionals, and policy makers. What are the conditions for using / applying it (e.g., free, license agreement, etc.)? Conditions of using : – HW/ sensing equipment acquisition + monthly SaaS for data processing and visualization – client’s sensing equipment + calibration [one time fee] + adaptor to BEIA cloud platform [one time fee] + monthly SaaS for data processing and visualization
Impact on health outcomes, Contribution to citizen empowerment
Proof of concept is available: it works in a test setting and the potential end-users are positive about the concept 
the practice is in a promising early stage of development, but additional work is required to prepare it for widespread, real-world use. The positive reception from potential end-users suggests that there is demand for the solution, which is an encouraging sign for future development and eventual deployment.
Geographical scope
Number of sites deployed < 20
Submitted in other database or repository of digital health resources that is publicly available
the practice has been not submitted to any other digital health repository.

Additional information

to clinicians / care practitioners
Clinical decision support
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
to patients / citizens
Sensors/wearable devices
Personalised prevention apps
Health promotion and wellness apps and wearables/virtual coaches
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Primary target patient group (age)
Children (5-14), Older adults (65+), May be used across all patient ages
Addressed prevention area(s)
Fitness and physical activity, Environment (e.g., housing, workplace)
Use case and care pathway positioning
Prevention and wellness, Patient or citizen communities, self-help and mentoring, Public health surveillance, tracking, COVID-19 monitoring and care guidance
Ready to be transferred to
Ready for transfer, but the practice has not been transferred yet.
Plans for cross-border implementation
Have been developed but not implemented