IoT technologies play a key role in health management (e.g. in disease prevention, real-time telemonitoring of patients functions, testing of treatments, and health research data collection). One of the main challenges of health-related IoT (H-IoT) is how to collect, share, process, and validate data across different domains of applications in ways that are economically efficient, technologically robust, and scientifically reliable, while respecting individual rights and hence fostering trust. The DASH project collaborated with HMGCC, IMEC, InterDigital, TOSHIBA, and the European Medical Information Framework (EMIF) to develop a common information framework for data analysis H-IoT. The project landscaped and evaluated current privacy and transparency protocols for data collection in H-IoT. Efforts focused on the analysis of the best data collection strategies and on developing effective guidelines for the design of H-IoT solutions that facilitate access to patient-level data, opening up new avenues of applications and research. Guidelines produced by the project were benchmarked in a series of focus groups with relevant user partners and EMIF.
Guidelines produced by the project: DASH Guidelines Summary Document
- Evaluate current solutions for developing data collection in H-IoT able to respect users’ rights;
- Develop ethical guidelines for data controllers, which will facilitate access to patient-level data by fostering patients’ trust and protecting their privacy.