“The primary purpose of TERMINET is to efficiently serve the final user through the development of a cutting-edge architecture that leverages innovative technologies such as Software Defined Networking (SDN), multi-access edge computing and virtualization for IoT, allowing the application of sophisticated distributed artificial intelligence systems to market-oriented use cases.
Fondazione Policlinico Universitario Agostino Gemelli IRCCS (FPG) is involved in Use Case 2 “Pathways of Personalised Healthcare”, a pilot clinical trial carried out in cooperation with iSprint and TECN, aiming to improve healthcare towards a personalization of medical care.
Use Case 2 utilizes TERMINET’s edge nodes in order to design and develop effective personalized treatment methodologies based on real-time patient monitoring and intra-domain medical knowledge exchange. TERMINET’s technology aims to facilitate clinicians by assessing the intervention readiness of elderly oncological patients. It fulfills its purpose in two ways:
- Firstly, it provides a clinical dashboard where behavioral data from their patients’ everyday setting are visualized together with clinical data from the hospital’s information system.
- Secondly, it learns a model to predict the patients’ readiness, using federated learning across different simulated hospitals.
TECN SPHINX Blockchain-based Threat Registry and Health Information Exchange tool will provide a trustful deep learning model exchange, while the iSPRINT Healthentia app will improve patient experience and enrich the quality of the selected datasets towards a more efficient assessment process.
First, the iSPRINT Healthentia will monitor patients and collect behavioral data, either automatically via measurements, or manually via patient reports (questionnaires) or doctors’ assessments. All selected information will be transferred to the TERMINET edge nodes, where data will be fed into a personalized and locally generated DL model and will be continuously trained based on symptom detection and treatment methodology. In the meantime, pre-processed machine learning medical data and parameters will be periodically transmitted to a dedicated platform, the PLA-L, in a secure way via utilizing the TECN SPHINX Blockchain-based Threat Registry and Health Information Exchange tool. The PLA-L will produce a global training model based on the trustworthy information collected from the edge nodes.
UC2 will demonstrate and assess the ability of the TERMINET platform to develop more efficient and personalized treatments. It will also prove the capability of TERMINET infrastructure to create a personalized pathway of care, enable faster and more efficient health assessment based on inter-domain knowledge exchange, significantly reduce communication latency, develope innovative diagnostic methods and improve patient satisfaction.
The involvement of FPG in the TERMINET project materializes in the SUPERO protocol, an observational no-profit study that aims at reducing the average hospitalization days of patients requiring interventional brachytherapy. The Quantitative Improvement UC2 proposes to achieve is the reduction of the average hospital length of stay for patients undergoing the surgical procedure.
Patients’ physical and cognitive assessment will be performed before treatment, and their performance trajectory will be tracked through the iSprint app. This will also allow the architecture to identify the factors that discriminate frail patients, and therefore at greater risk of developing complications after the procedure is performed, from the fit ones who can be treated without developing side effects.
FPG is involved as a pilot site and main provider of healthcare requirements and healthcare infrastructures, and it will be actively involved in pilot, validation, and evaluation activities of the project. Likewise, it also participates in specifications and requirements engineering activities, as well as in dissemination and exploitation. “