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Development of a comprehensive platform to accelerate research in maternal-fetal medicine
Josa Prats-Valero1, Ainhoa Marina Aguado1, Alèxia Lozano-Pedrajas1, Carla Leal1, Sergio Sánchez-Martínez1, Gabriel Bernardino1, Laura Nogué2, Fàtima Crispi2,3, Bart Bijnens1,4
1: Escola d'Enginyeria, Universitat Pompeu Fabra, Barcelona; 2: BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine; 3: August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona; 4: ICREA, Barcelona
The digital transformation of healthcare has led to an unprecedented growth in the volume and heterogeneity of clinical data. In maternal-fetal medicine, this wealth of information offers new opportunities to improve outcomes for mothers and babies, but it also brings major challenges in terms of organization, integration, and quality. Rapid advancement in this field requires large-scale, well-structured datasets and tools that allow all actors to collaborate efficiently. This work presents the development of a comprehensive platform that integrates multimodal data management and curation along with a wide range of tools for data analysis, thereby providing an agile environment that accelerates the achievement of improved research outcomes. This platform was built with a modular architecture, enabling flexibility and scalability across different research domains. It includes a data pipeline that supports the ingestion, validation, anonymization, and secure storage of various types of clinical data —ranging from medical images (e.g. US, MRI), biosignals (e.g. ECG), and structured tables (e.g. sociodemographic or laboratory data). It supports interoperability through the adoption of domain standards (file formats, ontologies), and facilitates collaboration through role-based access and intuitive web-based interfaces. The system supports both on-premise and cloud deployments and ensures compliance with data protection regulations by design. Our platform is currently in active use in 12 ongoing maternal-fetal research projects by over 40 users, including clinicians and researchers. Clinicians can easily explore the data, perform quality control and take measurements through intuitive web-based interfaces, while researchers benefit from standardized data inputs and can deploy, test, and refine their solutions directly within the environment. The system already includes 6 specialized user interfaces with different components that support the mentioned key tasks, plus others such as graphical exploration and interpretation of research outcomes, patient browsing and follow-up, and risk assessment for specific clinical conditions. The complete platform infrastructure has been successfully deployed in two major cloud services as well as on-premise at two leading maternal-fetal medicine centers in Barcelona (with further deployments in progress) and has already processed more than 400,000 clinical data samples, demonstrating its robustness and scalability in real-world research environments. In conclusion, the proposed platform is tailored to the needs of maternal-fetal medicine research and tackles the challenges of managing multimodal, multi-source clinical data. By fostering collaborative development of new research tools, aligned with current regulatory requirements, this integrated environment accelerates the delivery of reliable innovations in maternal-fetal healthcare.