Public Deliverables

Platform architecture and implementation

D2.2 Report on Data Controllers’ Solution Infrastructure and its Readiness

The purpose of this deliverable is to validate that all four Data Controllers have the capability to implement the Federated Node runtime infrastructure and to assess the feasibility of transitioning to the federated analytics network implementation. This report aggregates the results obtained from a self-assessment survey completed by the Data Controllers. In addition, interviews were conducted to gather interpretations of their capabilities.

D2.3 PHEMS Network MVP 

This deliverable provides the development and testing of the Minimum Viable Product (MVP) for the PHEMS federated health data network.

D2.4 Functionality of the Federated Version of the Cohort Selection Software Demonstrato 

This deliverable provides a comprehensive overview of the demonstration of the cohort selection software that will be used during the PHEMS project. Also, the chosen decentralized approach for cohort definition, and management will be presented. Different pre-study use cases for cohorts are also explained: Availability study and Feasibility study. We will also explain the use of Permit App software as a cohort management tool.

D2.5 Decentralized System for Managing Research Projects and Data Permit Applications 

This deliverable provides a comprehensive overview of the demonstration of the Permit App, a decentralized system designed to facilitate the management of research projects and data permit applications within the federation network. It outlines the system’s scope, objectives, and key outcomes, emphasizing how the Permit App supports efficient, transparent, and compliant handling of data access requests and project administration. The deliverable also clarifies the evolution of the system’s name and scope, ensuring alignment with the project’s objectives as defined in the Grant Agreement.

D2.6 Data Exchange System for Creating and Managing Identities and Credentials Related to Federated Research Projects

This deliverable provides a high-level overview of the identity and credential management system developed under Work Package 2. Identities, credentials and their use cases are presented together with trust required between actors in PHEMS federated network. Both current implementation and future possibilities offered by decentralized identity and credential management are considered.

Data Processing Functions

D3.1 Technical Architecture and Protocol Anonymization and Synthetization 

Deliverable 3.1 presents the technical architecture and protocol for anonymization and synthetization within the PHEMS federated healthcare ecosystem. This document outlines the design, functional requirements, deployment strategies, and integration of privacy-enhancing technologies (PETs) aimed at safeguarding sensitive healthcare data while supporting advanced research and innovation.

D3.3 Federated Signal Processing and Analysis Functions 

This deliverable describes how federated signal processing functions are implemented within the PHEMS architecture to support the clinical use cases. We present a practical example of how a machine-learning task for sepsis prediction (Use Case 2) can be executed in a federated learning setting using a PyTorch plug-in.

D3.6 Guidance on Statistical Learning Methodologies on Federated/Differentially Private Datasets for Clinical Use Cases 

This deliverable provides a comprehensive review of federated learning (FL) tools, emphasizing their application within the PHEMS project. The document outlines theoretical principles of FL, technical frameworks for implementation, and covers key aspects such as data governance, local model training, and global model aggregation. In addition to widely recognized FL frameworks, this deliverable also explores the relevance of Swarm Learning (SL) and OMOP-tailored FL frameworks. The frameworks considered in this deliverable must demonstrate long-term viability not only through technical performance but also through governance, licensing, and sector-specific adoption, ensuring that any implementation within PHEMS not only supports advanced analytics but also adheres to the highest standards of data protection and privacy.

Clinical use case and validation 

D4.1 Report on Data Requirements and Available Data Mapping 

The current deliverable describes the procedure for mapping the variables of interest for each PHEMS WP4 use case.

Governance and playbook 

D5.1 Report on Data Access and Data Processing Policies and User Journey Maps across the Ecosystem 

The current deliverable describes current and target procedures for data access of data controllers participating in the PHEMS ecosystem. We describe a robust data access process, aligning with the European Health Data Space (EHDS) framework and adhering to GDPR’s privacy by design and data minimisation principles. This process handles different data types, including pseudonymised, synthetic, and aggregated data.

Dissemination & exploitation

D6.1 Project Website 

The PHEMS Project Website, phems.eu, is a key part of the Communication, Dissemination, and Exploitation Work Package (WP6). As the calling card of the project, it explains to a range of stakeholders the objectives of PHEMS, how the project is organized, and the value that the project will bring to the European Union both in terms of health outcomes and technologic advances. It also provides a clear overview of partners and how to reach work package leads and project coordinators.

D6.3 Dissemination, Exploitation & Communication Plan

This deliverable provides the Dissemination, Exploitation, and Communication (DEC) plan for the PHEMS project. It is designed to maximize the project’s visibility, ensure that its outcomes are utilized effectively, and to support the project’s contributions to broader societal and scientific advances. It is also designed to help guarantee the long-term success of the PHEMS project through a specific focus on stakeholder engagement and the development of a robust exploitation plan.