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Aligning Clinical Workflows and AI Integration: Digital Healthcare Reference Model in Dementia and Frailty Care
Sangiovanni,Mirella Borovits,Nemania Manias,Georgios van den Heuvel,Willem-Jan
Sangiovanni,Mirella
Borovits,Nemania
Manias,Georgios
van den Heuvel,Willem-Jan
Abstract
As healthcare systems face increasing demands from aging populations and the prevalence of neurodegenerative diseases, there is a growing need for integrated, scalable digital solutions. This paper introduces a Digital Healthcare Reference Model (DHRM) developed to enable AI-supported diagnoses for dementia and frailty care. Grounded in Action Research, the model was iteratively constructed through the collaboration of clinical and technical experts. These approaches provided diverse real-world data on clinical workflows, user requirements and care strategies for improving the individuals’ well-being and quality of life (QoL). The DHRM formalizes core clinical workflows and defines key actors, data entities and system components, organizing them into a layered architecture that supports data ingestion, processing, decision support, and user interaction. The model bridges clinical practice and technical design, enabling consistent integration of AI-based tools into routine care. By establishing a reusable framework for digital health systems, this work contributes to the development of standardized, explainable and adaptable infrastructures for managing complex, age-related health conditions.
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Date
2025-06-30
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Keywords
digital healthcare, neurodegenerative diseases, AI-assisted clinical workflows
Citation
Sangiovanni, M, Borovits, N, Manias, G & van den Heuvel, W-J 2025, Aligning Clinical Workflows and AI Integration : Digital Healthcare Reference Model in Dementia and Frailty Care. in B Shishkov (ed.), Business Modeling and Software Design. Lecture Notes in Business Information Processing, vol. 559, pp. 260–269, Business Modeling and Software Design, Milan, Italy, 1/07/25. https://doi.org/10.1007/978-3-031-98033-6_20