ONCORELIEF is a project that developed a solution aiming to support cancer survivors. This solution, titled the Integrated ONCORELIEF solution, incorporates the following results:
- The SmarKo wearable device: It is a wearable in the form of a smartwatch that incorporates a number of sensors, allowing it to capture various types of data and transmit them to a connected mobile phone. As part of the Integrated ONCORELIEF solution, the SmarKo wearable is able to capture health-related data such as the heart rate of a patient, motion data used for the identification of sleeping patterns, and also for the identification of physical activities.
- The ONCORELIEF mobile application: It is a mobile application for Android and IOS mobile phones. It plays a triple role as part of the ONCORELIEF suite, as a) it is the sink for data created by the SmarKo wearable. As such, it includes the APIs for the reception of data through Bluetooth, b) it is the interface through which patients can view their collected data, and also respond to questionnaires, and c) it is the place where recommendations suggested by clinicians are provided to patients.
- The ONCORELIEF back-end framework: It includes all services that have been developed to authenticate users, securely store and transfer data, pre-process data making them digestible by the downstream AI services, and process them through the AI services.
- The clinical decision support web application: This is the web application through which clinicians are able to view patients’ data, their responses to questionnaires, indices related to their quality of life, the cluster they have been classified in based on their condition and symptoms, and provide recommendations to patients.
- The AI research engine: This is the web application providing researchers with secondary access to collected data. It provides an interface for the creation of user-defined workflows, through which processing and visualization of data can be automated and streamlined. Being FHIR-compatible, the AI research engine can process not only the datasets created by ONCORELIEF, but also any other dataset that is compliant with the FHIR protocol.
The user friendliness and performance of these results were evaluated in a clinical study conducted in two clinical centres. The project has published 4 publications in scientific journals and 6 publications in scientific conferences.