Review of Semantically Interoperable Electronic Health Records for Ubiquitous Healthcare

Hwang, Kyung Hoon; Chung, Kyoil; Chung, Myung-Ae; Choi, Duck-Joo

doi:10.4258/hir.2010.16.1.1

Cited by 12 publications

(12 citation statements)

References 13 publications

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“…Based on EIF, the semantic interoperability covers also syntactic features, such as data format and, for example, structured data content. We identified these key features of semantic interoperability based on previous research [6,[14][15][16][17]. In our framework, data model is a generic concept that describes various applications of data models from a reference information model to clinical information model.…”

Section: Methodological Frameworkmentioning

confidence: 99%

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Semantic Interoperability of EHRs: Review of Approaches for Enhancing the Goals of European Health Data Space

Palojoki¹,

Vuokko²

2023

Preprint

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Semantic interoperability facilitates exchange and access of health data that is being documented in EHRs with various semantic features. In the EU, the regulation proposal of European health data space requires development of semantic interoperability. To achieve a fully integrated EHDS ecosystem leveraging the value of health data, stakeholders need to overcome challenges of implementing common standards and other semantic interoperability features. We aimed to research what scientific evidence is available on developing semantic interoperability. Our research questions focused specifically on key features and approaches for semantic interoperability and on possible benefits of these choices. For that purpose, we performed a systematic literature review by defining our study framework based on previous research. Our results consisted of 10 studies where data models, ontologies, terminologies, classifications, and standards were applied for building interoperability. Through increased access to interoperable patient information, a better quality and outcomes in care can be achieved. Better communication based on easily accessible data is facilitated between health professionals and between clinicians and the patients. When heading towards semantic harmonization as outlined in the EHDS proposal, more experiences and analyses are needed to assess how applicable the chosen solutions are for semantic interoperability of European health care data.

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Section: Methodological Frameworkmentioning

confidence: 99%

“…This approach is used, for example, for representing the dual levels of knowledge by an archetype model and information structures by the chosen information reference model. [14,17,18]…”

Section: Methodological Frameworkmentioning

confidence: 99%

Semantic Interoperability of EHRs: Review of Approaches for Enhancing the Goals of European Health Data Space

Palojoki¹,

Vuokko²

2023

Preprint

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“…It has been recognised that to provide more personalised health care we need active knowledge management, reasoning systems, and semantic interoperability with ontology based models [13]. New information and communication technology (ICT) tools such as ontologies are needed to build federated information infrastructures [14].…”

Section: Approaches To Managing Complex Health Informationmentioning

confidence: 99%

The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review

et al. 2013

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SummaryBackground: Most chronic diseases are managed in primary and ambulatory care. The chronic care model (CCM) suggests a wide range of community, technological, team and patient factors contribute to effective chronic disease management. Ontologies have the capability to enable formalised linkage of heterogeneous data sources as might be found across the elements of the CCM. Objective: To describe the evidence base for using ontologies and other semantic integration methods to support chronic disease management. Method: We reviewed the evidence-base for the use of ontologies and other semantic integration methods within and across the elements of the CCM. We report them using a realist review describing the context in which the mechanism was applied, and any outcome measures. Results: Most evidence was descriptive with an almost complete absence of empirical research and important gaps in the evidence-base. We found some use of ontologies and semantic integration methods for community support of the medical home and for care in the community. Ubiquitous information technology (IT) and other IT tools were deployed to support self-management support, use of shared registries, health behavioural models and knowledge discovery tools to improve delivery system design. Data quality issues restricted the use of clinical data; however there was an increased use of interoperable data and health system integration. Conclusions: Ontologies and semantic integration methods are emergent with limited evidence-base for their implementation. However, they have the potential to integrate the disparate community wide data sources to provide the information necessary for effective chronic disease management.

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“…Implementation of Electronic Health Records (EHRs) has been accompanied by the promise of increased patient safety, reduced medical errors, improved efficiency, reuse of healthcare data and reduced costs [1][2][3][4]. However, in order to realize these benefits, EHR systems need to be interoperable implying that data is unambiguous [1,2], while the often used free text, which is rich in details, can be ambiguous [3].…”

Section: Introductionmentioning

confidence: 99%

Development of a Framework for Redesigning a Terminology Maintenance Process – Case Study in the Netherlands

Klappe

Keizer

Cornet

2021

Studies in Health Technology and Informatics

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Structuring clinical data in electronic health records supports reuse of data to improve quality of care, reduce costs and perform research. This requires terminologies to assign terms from language used in a specific domain to medical concepts. Given the developing character of medical knowledge, these terminologies need continuous maintenance. Nonetheless, little is known about terminology maintenance processes. To specify the (re)design of a terminology maintenance process, we first merged and adapted two static theoretical frameworks that consisted of criteria relating to using a terminology, divided among relevant stakeholders. Following, we applied the framework to the healthcare terminology maintenance process in the Netherlands. We held interviews with relevant stakeholders and used the framework as checklist to identify missing criteria and bottlenecks. Saturation in interviews and fulfilment of the criteria indicated that all bottlenecks were discovered, therefore the framework was considered useful for redesigning a terminology maintenance process. Other countries could benefit from this framework as well to discover and resolve any unfulfilled maintenance criteria.

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Review of Semantically Interoperable Electronic Health Records for Ubiquitous Healthcare

Cited by 12 publications

References 13 publications

Semantic Interoperability of EHRs: Review of Approaches for Enhancing the Goals of European Health Data Space

Semantic Interoperability of EHRs: Review of Approaches for Enhancing the Goals of European Health Data Space

The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review

Development of a Framework for Redesigning a Terminology Maintenance Process – Case Study in the Netherlands

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