Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems.

Area of Science:

• Health systems transformation
• Precision medicine
• Multidisciplinary scientific integration

Background:

• Global health systems are evolving towards personalized, preventive, and predictive care.
• Integration of individual genetic, genomic, and contextual data is key.
• Shift from reactive to proactive health and social care models.

Purpose of the Study:

• To address the challenge of formally representing complex, multidisciplinary health systems.
• To propose a framework for designing and managing intelligent and ethical health ecosystems.
• To detail a sophisticated, formal reference architecture for health and social care.

Main Methods:

• System-theoretical approach
• Architecture-centric design
• Ontology-based modeling
• Policy-driven framework development
• Integration of advanced technologies like AI and autonomous systems.

Main Results:

• A formal reference architecture for intelligent and ethical health ecosystems.
• A model enabling mapping across diverse disciplines, methodologies, and languages.
• Solutions for managing the complexities of transforming health and social care.

Conclusions:

• The proposed architecture facilitates the transition to precision medicine.
• Formal representation is crucial for understanding and managing dynamic health systems.
• Advanced technologies and ethical governance are essential for future health ecosystems.