OBJECTIVE: For realizing pervasive and ubiquitous health and social care services in a safe and high quality as well as efficient and effective way, health and social care systems have to meet new organizational, methodological, and technological paradigms. The resulting ecosystems are highly complex, highly distributed, and highly dynamic, following inter-organizational and even international approaches. Even though based on international, but domain-specific models and standards, achieving interoperability between such systems integrating multiple domains managed by multiple disciplines and their individually skilled actors is cumbersome. METHODS: Using the abstract presentation of any system by the universal type theory as well as universal logics and combining the resulting Barendregt Cube with parameters and the engineering approach of cognitive theories, systems theory, and good modeling best practices, this study argues for a generic reference architecture model moderating between the different perspectives and disciplines involved provide on that system. To represent architectural elements consistently, an aligned system of ontologies is used. RESULTS: The system-oriented, architecture-centric, and ontology-based generic reference model allows for re-engineering the existing and emerging knowledge representations, models, and standards, also considering the real-world business processes and the related development process of supporting IT systems for the sake of comprehensive systems integration and interoperability. The solution enables the analysis, design, and implementation of dynamic, interoperable multi-domain systems without requesting continuous revision of existing specifications.
- Klíčová slova
- 5P medicine, architecture, ecosystem, health transformation, integration, interoperability, knowledge representation and management, modeling,
- Publikační typ
- časopisecké články MeSH
The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine and the related organizational, methodological and technological requirements. Thereby, the deployment of autonomous systems and artificial intelligence is inevitably. The paper discusses opportunities and challenges of those technologies from a humanistic and ethical perspective. It shortly introduces the essential concepts and principles, and critically discusses some relevant projects. Finally, it offers ways for correctly representing, specifying, implementing and deploying autonomous and intelligent systems under an ethical perspective.
- Klíčová slova
- P5 medicine, artificial intelligence, autonomous systems, ethical principles, pHealth,
- MeSH
- lékařství * MeSH
- mravy MeSH
- poskytování zdravotní péče MeSH
- umělá inteligence * MeSH
- Publikační typ
- časopisecké články MeSH
Processes like the care of type 2 diabetes mellitus patients require support by information systems considering the heterogeneity of the actors from different domains involved, enabling harmonization and integration of their specific methodologies and knowledge representation approaches towards interdisciplinary cooperation. Currently, the development of systems starts from the simplified information world, ignoring the aforementioned heterogeneity and specificity of real-world processes. This paper aims to demonstrate the feasibility of developing an adaptive, interoperable and intelligent system that supports the major aspects of type 2 diabetes mellitus care based on the Generic Component Model as formal methodology for modelling universal systems. The result is a deployable solution based on a formal representation of the diabetes care system, its objectives, and the intended business process. The implemented system enables reasoning over the data, inferring medical diagnosis. The effectiveness of the inference was evaluated, obtaining an F-measure of 0.89. The methods presented in this paper helps to build high quality models based on computation-independent aspects, which enable the construction of knowledge-based adaptive, intelligent and interoperable eHealth systems.
- Klíčová slova
- Diabetes mellitus, Health information management, Knowledge-based systems, Ontology-based Systems, Systems architecture,
- MeSH
- diabetes mellitus 2. typu * MeSH
- informační systémy MeSH
- lidé MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
