Case 1: Health Outcomes and European Health Data Space Value-based healthcare is a new model that places the patient at the center of medical care. The goal is to provide treatments that genuinely improve people’s health and quality of life, rather than merely increasing healthcare activity. Achieving this requires a better understanding of patient outcomes and how individuals experience the healthcare system.One of the major challenges is sharing this data securely and efficiently among professionals and institutions. For this reason, projects in Europe and Catalonia are developing common, protected, and trusted data spaces. These environments will help improve research, innovation, and decision-making, enabling more personalized, modern, and patient-centered healthcare. Goals Collect and organize health data in a secure and standardized way, including clinical, demographic, and social information, as well as patient-reported outcomes. Participate in international health research networks and projects, sharing data securely while respecting privacy and European regulations. Use this data to identify opportunities for improvement in medical practice and help professionals make more accurate decisions. Ensure the quality of the generated data so that they can be shared within the data space and published in the data space component catalog, enabling potential consumers to explore and use them. Data consumers Following data access regulations, different groups of data consumers are identified based on their needs and objectives. These groups include researchers, healthcare professionals, developers, and other stakeholders who require the information to improve decision-making, advance research, optimize processes, or develop new healthcare tools and services. Hospital management and health authorities: Managers who use the data to improve quality, efficiency, and the allocation of human and financial resources. Healthcare professionals and clinical service managers: Individuals responsible for patient care who use the data to optimize processes and improve care in their daily practice. Funders and regulators: Public entities or insurers that aim to ensure resources are allocated efficiently and in compliance with regulations. Patients: End users interested in accessing their data to monitor their progress and actively participate in decisions about their health. Researchers and data consortia: Organizations that analyze large volumes of data to generate scientific evidence and drive projects such as H2O or other international initiatives. Technology providers: Companies that develop applications, tools, and infrastructure for digital healthcare and models such as VBHC (Value-Based Healthcare). Pharmaceutical and digital industry: Companies that create products and services to improve healthcare processes, advance VBHC (Value-Based Healthcare), and develop new technological solutions. Case 2: Sharing Synthetic Data Using AI This case demonstrates how artificial data can be created to mimic real patient data for training and testing health algorithms, ensuring privacy and facilitating collaboration between hospitals and researchers. More information Case 3: Data Space for Federated Prediction of Acute Heart Failure Risk This case demonstrates how data from multiple hospitals can be used securely and collaboratively to create a model that helps predict complications and readmissions in heart failure patients, improving decision-making and patient care without compromising privacy. More information