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The REBECCA platform is a digital, cloud-based system designed to support clinical research and patient treatment in breast cancer patients (BCPs) through continuous, real-time monitoring of their behavioural, physical, and emotional well-being.It integrates heterogeneous data sources-wearable sensors, mobile applications, electronic questionnaires, web browsing behaviour, social media interactions, and electronic health records (EHRs)-into a unified and scalable infrastructure.At the core of the platform lies a robust system architecture that combines asynchronous communication via a message broker with distributed data streaming technologies, enabling high-frequency data ingestion and processing.Data from wearable devices and patient-reported outcomes are collected through a mobile application, while EHRs are securely transferred from REDCap servers located at clinical centres.All collected data are stored in secure cloud databases, forming datasets that reflects the patient's lifestyle, treatment journey, and psychosocial status.The platform features an interactive web-based clinical dashboard that allows healthcare professionals to assess individual patient trajectories, evaluate treatment and post treatment impacts, and derive actionable insights for care optimization and research.As a tool for research, it can complement traditional Randomised Control Trials (RCTs).The REBECCA system enables continuous monitoring, predictive modelling, and personalized decision support, integrating real-world data streams and supporting asynchronous data communication among analytic services.This paper presents the system architecture, data integration pipeline, and core functionalities of the REBECCA platform, highlighting its role as an enabler for next-generation clinical monitoring in oncology research and patient-centred care.
Bourgos et al. (Fri,) studied this question.