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Demski, H. ; Garde, S.* ; Hildebrand, C.

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

BMC Med. Inform. Decis. Mak. 16:137 (2016)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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2.042
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Clinical Information Models ; Electronic Health Record ; Model-driven Engineering ; Open Data Models ; Semantic Interoperability ; Openehr; Record Systems; Archetypes; Experience
Sprache
Veröffentlichungsjahr 2016
HGF-Berichtsjahr 2016
ISSN (print) / ISBN 1472-6947
e-ISSN 1472-6947
Zeitschrift BMC Medical Informatics and Decision Making
Quellenangaben Band: 16, Heft: , Seiten: , Artikelnummer: 137 Supplement: ,
Verlag BioMed Central
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
Institute of Epidemiology (EPI)
POF Topic(s) 30205 - Bioengineering and Digital Health
30202 - Environmental Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-505500-002
G-504091-004
DOI 10.1186/s12911-016-0376-2
WOS ID WOS:000386503400001
Scopus ID 84992209039
PubMed ID 27770769
Erfassungsdatum 2016-10-31
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