Requirements and Solutions for Personalized Health Systems

Area of Science:

• Health Informatics
• Systems Science
• Service Science

Background:

• Current health and social services require paradigm shifts towards personalized, predictive, and preventive approaches.
• Interoperability challenges extend beyond Information and Communication Technologies (ICT) to encompass real-world business domains and individual user contexts.
• The integration of diverse actors with varying expertise is crucial for effective service delivery.

Purpose of the Study:

• To define and compare personalized health (pHealth) concepts.
• To outline essential requirements and principles for developing robust pHealth systems.
• To explore intelligent interoperability solutions for complex health ecosystems.

Main Methods:

• Review and comparison of personalized health definitions.
• Analysis of requirements and principles for pHealth systems.
• Investigation of knowledge representation, decision intelligence, and usability in pHealth.
• Development of a system-theoretical, ontology-based, policy-driven reference architecture model.

Main Results:

• A comprehensive understanding of personalized health definitions and their implications.
• Identification of key factors for successful pHealth system implementation, including knowledge harmonization and decision support.
• Proposal of a novel reference architecture model for open and intelligent pHealth ecosystems.
• Guidance on transforming the reference model into practical ICT design and implementation.

Conclusions:

• Achieving precise, personalized, predictive, preventive, and participative (p4) health services necessitates a holistic approach to interoperability.
• Intelligent interoperability, knowledge management, decision intelligence, and usability are critical enablers for advanced pHealth ecosystems.
• The proposed reference architecture provides a foundational framework for developing adaptable and intelligent pHealth solutions.