Open data models for smart health interconnected applications: the example of openEHR

Background Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework for providing interoperable data services that support the development of innovati...

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Veröffentlicht in:BMC medical informatics and decision making Jg. 16; H. 1; S. 137
Hauptverfasser: Demski, Hans, Garde, Sebastian, Hildebrand, Claudia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London BioMed Central 22.10.2016
BioMed Central Ltd
Springer Nature B.V
Schlagworte:
Data models
Electronic Health Records
Electronic records
Health Informatics
Humans
Information systems
Information Systems and Communication Service
Interoperability
machine learning
Management of Computing and Information Systems
Medical advice systems
Medical Informatics Applications
Medicine
Medicine & Public Health
modeling
Models, Theoretical
Open data
Personal health
Research Article
Semantics
Software
Software development
technology
United Kingdom
Germany
Model-driven engineering
Clinical information models
openEHR
Electronic health record
Semantic interoperability
Open data models
ISSN:1472-6947, 1472-6947
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Zusammenfassung:Background Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework for providing interoperable data services that support the development of innovative Smart Health applications profiting from data fusion and sharing. Methods This article describes a model-driven engineering approach based on standardized clinical information models and explores its application for the development of interoperable electronic health record systems. The following possible model-driven procedures were considered: provision of data schemes for data exchange, automated generation of artefacts for application development and native platforms that directly execute the models. The applicability of the approach in practice was examined using the openEHR framework as an example. Results A comprehensive infrastructure for model-driven engineering of electronic health records is presented using the example of the openEHR framework. It is shown that data schema definitions to be used in common practice software development processes can be derived from domain models. The capabilities for automatic creation of implementation artefacts (e.g., data entry forms) are demonstrated. Complementary programming libraries and frameworks that foster the use of open data models are introduced. Several compatible health data platforms are listed. They provide standard based interfaces for interconnecting with further applications. Conclusion Open data models help build a framework for interoperable data services that support the development of innovative Smart Health applications. Related tools for model-driven application development foster semantic interoperability and interconnected innovative applications.
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ISSN:1472-6947
1472-6947
DOI:10.1186/s12911-016-0376-2