Digital Healthcare Reference Model I

Abstract

The COMFORTage project aims to develop an AI-driven framework for dementia and frailty prevention through the integration of healthcare, technology, and data governance models. A critical component of this initiative is the Digital Healthcare Reference Model (DHRM), which defines the structural, organizational, and technical foundations for delivering digital healthcare solutions. Deliverable D2.6 provides the initial specifications for this model, ensuring that healthcare pathways, data interoperability, and AI-enabled clinical decision-making align with the broader objectives of the project. This reference model serves as a foundational framework supporting the integration of COMFORTage components, facilitating data-driven prevention and intervention strategies while ensuring compliance with ethical and regulatory standards. This document introduces the principles and structure of the DHRM, detailing how it organizes healthcare processes, integrates heterogeneous data sources, and supports AI-assisted decision-making. It establishes a conceptual and technical foundation for aligning digital healthcare workflows with patient-centred care models, ensuring modularity and adaptability for future refinements. The model incorporates standardized data structures, interoperability mechanisms, and security measures, facilitating controlled data exchange across healthcare systems. By defining the functional elements of the COMFORTage ecosystem, the DHRM provides a structured approach for integrating diverse healthcare technologies, including remote monitoring tools, cognitive training platforms, and decision-support mechanisms for early risk detection. Deliverable D2.6 – “Digital Healthcare Reference Model I” also outlines the technical and clinical requirements that shape the DHRM, ensuring alignment with existing healthcare models and interoperability frameworks. It examines key considerations for system integration, including data harmonization, privacy-preserving mechanisms, and AI-assisted risk assessment tools. The document further positions the DHRM within the COMFORTage reference architecture, specifying its role in guiding the development of digital healthcare applications that leverage real-world evidence and patient-generated health data. The initial version of the model provides a structural foundation for iterative validation and refinement, supporting the progressive alignment of digital health interventions with clinical and organizational best practices. As the first iteration of the DHRM, this deliverable establishes the groundwork for subsequent refinements, ensuring that future versions incorporate insights from pilot studies and empirical validation. Subsequent deliverables will further extend the model capabilities, integrating new findings from user evaluations and system implementations. Thus, D2.6 serves as a baseline specification, providing the conceptual and technical reference for the evolution of COMFORTage digital healthcare framework, enabling structured, scalable, and compliant integration of AI-driven health interventions. Updates and revisions as the project progresses will be reported in the second version of this series of deliverables, i.e., D2.7 – “Digital Healthcare Reference Model II”.

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