Periodic Reporting for period 3 - ONCORELIEF (A digital guardian angel enhancing cancer patient’s wellbeing and health status improvement following treatment.)
Reporting period: 2023-01-01 to 2023-06-30
A huge unprecedented opportunity is formed to create intelligent healthcare-patient services and tools to manage the health status and wellbeing of cancer patients at all levels. This is true, especially when considering the following key driving factors: (1) Improved cancer survival rate; (2) Proliferation of smartphones; (3) Increased importance of health-related quality of life (HRQOL), (4) Huge volumes of data from clinical, administrative, imaging and omics sources (5) Incoming flood of electronic patient reported outcome and experience measures (ePRO), patient internet activities, sensors and monitoring data and (6) Rapid advances in Artificial Intelligence (AI) and Big Data analytics.
ONCORELIEF will leverage the above 6 drivers. New approaches will be developed that will allow the utilization of big datasets in order to develop a user-centred AI system, facilitating the integration of quality of life assessment instruments through the use of PROMs and PREMs, aiming to improve post-treatment health status, wellbeing, and follow-up care of cancer patients in order to meet their needs. This will be achieved through an intuitive smart digital assistant (Guardian Angel), able to utilize big data analytics to provide personalized support in post-treatment activities and tasks, suggest actions regarding the patients’ overall health-status, improved QoL and WB and active health-care and ultimately maintain him/her engaged on a wellness journey that will safeguard his/her health over the foreseeable prolonged post-cancer treatment period.
The ONCORELIEF vision is realized through a multi- and trans-disciplinary user-centric approach with concrete technical and scientific objectives (O) and builds upon the following five pillars:
Pillar 1: Analysis of clinical settings, treatment parameters and environment dynamics and driving forces of cancer patient wellbeing
Pillar 2: Exploiting Big Data and AI capabilities for holistic post-treatment insights generation
Pillar 3: Development of innovative technological elements for providing personalized wellbeing
Pillar 4: Piloting in different cancer types and patient-environment settings
Pillar 5: Active engagement of stakeholders resulting to measurable impacts
- 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.
ONCORELIEF has evaluated the feasibility of an AI-based solution on supporting cancer survivors. This will open the road for its uptake by hospitals and cancer clinics around Europe.