Solving the Modeling Dilemma as a Foundation for Interoperability

Blobel, Bernd; Oemig, Frank

doi:10.24105/ejbi.2018.14.3.2

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…A concept is a knowledge component that shall be uniquely identifiable, independently accepted by experts and users. It has a representation and can be specialized and generalized as any component can (24). As discussed in Blobel (25–27), knowledge can be represented at different level of abstraction and expressivity, ranging from implicit knowledge up to fully explicit knowledge representation, i.e., from natural language up to universal logic.…”

Section: Modeling Phealth Ecosystemsmentioning

confidence: 99%

“…Therefore, pHealth ecosystems' design and implementation have to cover all levels of ICT-related interoperability health informatics standards usually address, i.e., from technical interoperability through structural interoperability, syntactic interoperability, semantic interoperability, and organization/service interoperability. Furthermore, also interoperability beyond ICT-related business cases represented through domain-specific ontologies such as knowledge-based domain-domain interoperability and even skills based interoperability addressing the end-user has to be provided (24, 31). Those different interoperability levels are directly related to different viewpoints of the ISO 10764 Open Distributed Systems Reference Modell (RM-ODP) (30) from Technology through Engineering View, Computational View, and Information View up to Enterprise View, however necessarily extended by the Business View of the pHealth ecosystem.…”

Section: Interoperability Challenge Of Phealthmentioning

confidence: 99%

“…Abbreviations not introduced before are: EHR-S (Electronic Health Record System), PHR-S (Personal Health Record System), FM (Functional Model), BPM (Business Process Modeling), DCM (Detailed Clinical Models), CSO (Communication Standards Ontology), FHIM (Federal Health Information Model), CIMI (Clinical Information Modeling Initiative), CMET (Common Model Element Type), AWS (Amazon Web Service), FHIR (Fast Health Interoperability Resource), ITS (Implementable Technical Specification), SQL (Standard Query Language), OHDSI (Observational Health Data Sciences and Informatics), OMOP (Observational Medical Outcomes Partnership), and CDM (Common Data Model). For more information regarding the standards, specifications, and projects referenced in Figure 3, please refer to Blobel and Oemig (24), Blobel et al (49).…”

Section: Interoperability Challenge Of Phealthmentioning

confidence: 99%

See 2 more Smart Citations

Challenges and Solutions for Designing and Managing pHealth Ecosystems

Blobel

2019

Front. Med.

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For improving quality and safety of healthcare as well as efficiency and efficacy of care processes, health systems turn toward personalized, preventive, predictive, participative precision medicine. The related pHealth ecosystem combines different domains represented by a huge variety of different human and non-human actors belonging to different policy domains, coming from different disciplines. Those actors deploy different methodologies, terminologies, and ontologies, offering different levels of knowledge, skills, and experiences, acting in different scenarios and accommodating different business cases to meet the intended business objectives. Core challenge is the formal representation and management of multiple domains' knowledge. For correctly modeling such systems and their behavior, a system-oriented, architecture-centric, ontology-based, policy-driven approach is inevitable, thereby following established Good Modeling Best Practices. The ISO Interoperability Reference Architecture model and framework offers such approach. The paper describes and classifies the ongoing paradigm changes. It presents requirements and solutions for designing and implementing advanced pHealth ecosystems, thereby correctly adopting and integrating existing pHealth interoperability standards, specifications and projects.

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Section: Modeling Phealth Ecosystemsmentioning

confidence: 99%

Section: Interoperability Challenge Of Phealthmentioning

confidence: 99%

Section: Interoperability Challenge Of Phealthmentioning

confidence: 99%

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Challenges and Solutions for Designing and Managing pHealth Ecosystems

Blobel

2019

Front. Med.

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“…With such a common set of data elements defined, every local site should be required to adopt the set within a short period of time. Other authors have addressed this problem of data modeling and its contributions to interoperability [12].…”

Section: Addressing Semantic Interoperabilitymentioning

confidence: 99%

How Do You Know When You Have Interoperability?

Hammond¹

2018

ejbi

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This paper first looks at the several definitions of the word interoperability. Next, the paper addresses several of the distinct components that are factors in accomplishing interoperability: semantic interoperability, functional interoperability, stakeholder interoperability, consumer interoperability, business interoperability, privacy and security interoperability, and international interoperability. This paper discusses each of these components in terms of their current state relating to interoperability and suggests what changes might be made to achieve interoperability.

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“…Comparing data model levels and dimensions of modeling with ISO 23903 and ISO 10746 (after[25], changed).…”

mentioning

confidence: 99%

Principles and Standards for Designing and Managing Integrable and Interoperable Transformed Health Ecosystems

Blobel,

Ruotsalainen,

Oemig

et al. 2023

JPM

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The advancement of sciences and technologies, economic challenges, increasing expectations, and consumerism result in a radical transformation of health and social care around the globe, characterized by foundational organizational, methodological, and technological paradigm changes. The transformation of the health and social care ecosystems aims at ubiquitously providing personalized, preventive, predictive, participative precision (5P) medicine, considering and understanding the individual’s health status in a comprehensive context from the elementary particle up to society. For designing and implementing such advanced ecosystems, an understanding and correct representation of the structure, function, and relations of their components is inevitable, thereby including the perspectives, principles, and methodologies of all included disciplines. To guarantee consistent and conformant processes and outcomes, the specifications and principles must be based on international standards. A core standard for representing transformed health ecosystems and managing the integration and interoperability of systems, components, specifications, and artifacts is ISO 23903:2021, therefore playing a central role in this publication. Consequently, ISO/TC 215 and CEN/TC 251, both representing the international standardization on health informatics, declared the deployment of ISO 23903:2021 mandatory for all their projects and standards addressing more than one domain. The paper summarizes and concludes the first author’s leading engagement in the evolution of pHealth in Europe and beyond over the last 15 years, discussing the concepts, principles, and standards for designing, implementing, and managing 5P medicine ecosystems. It not only introduces the theoretical foundations of the approach but also exemplifies its deployment in practical projects and solutions regarding interoperability and integration in multi-domain ecosystems. The presented approach enables comprehensive and consistent integration of and interoperability between domains, systems, related actors, specifications, standards, and solutions. That way, it should help overcome the problems and limitations of data-centric approaches, which still dominate projects and products nowadays, and replace them with knowledge-centric, comprehensive, and consistent ones.

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Solving the Modeling Dilemma as a Foundation for Interoperability

Cited by 5 publications

References 9 publications

Challenges and Solutions for Designing and Managing pHealth Ecosystems

Challenges and Solutions for Designing and Managing pHealth Ecosystems

How Do You Know When You Have Interoperability?

Principles and Standards for Designing and Managing Integrable and Interoperable Transformed Health Ecosystems

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