DHU Radar

AICOM4HEALTH: a solution for recovering from pandemic negative impacts

Keywords: Artificial Intelligence (AI), Big Data, Data Processing, Digital Health Innovation, Remote Monitoring
Short description
The objective of AIcom4Health project is to offer an innovative solution towards recovering the pandemics negative impacts on public health, healthcare access and socioeconomics through remote monitoring -AI based platform’s integration to the public’s daily life whereas employing healthier citizens for smart cities s in the area of 5G and beyond, network slicing, edge computing, artificial intelligence and machine learning based on feasible use cases including both medical and non-medical sensors for making accurate decisions and predicting risks against contagion in the future. The use cases include integration of an IoT platform with various types of sensors to monitor physiological, behavioral and environmental data from natural indoors and outdoors environments. From a research perspective, AICom4Health aims to bring together data processing, AI and data communication techniques. Edge computing paradigm is a key enabler that integrates data processing and artificial intelligence algorithms within data communication, 5G, network slicing and IoT domains in order to provide reliability and timeliness in the system. Use cases within the AICom4Health project will provide continuous monitoring of individuals and crowds through multivariate analysis, fast response and action to health deterioration of individuals or health threats within a crowd. It also deals with big data collection from several measurement surveillance cameras and also air quality monitoring capabilities. This requires real-time, fast and intelligent data processing techniques, while providing highly reliable communication through network slicing.
Impact on health outcomes, Economic value to health and care systems, Impact on the health system’s capacity and resilience (e.g., health and care efficiency, continuity of care), Contribution to citizen empowerment
There is evidence for economic viability and/or of benefits to the target group of the practice. Further research/development is needed for routine use.
Geographical scope
Submitted in other database or repository of digital health resources that is publicly available

Additional information

to clinicians / care practitioners
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
to patients / citizens
Remote monitoring apps/health outcomes tracking
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Primary target patient group (age)
Youth and young adults (15-24), Adults (25-64), Older adults (65+)
Addressed prevention area(s)
Health screenings, Mental health
Use case and care pathway positioning
Prevention and wellness, Rehabilitation, Reuse of data for research