Format

Send to

Choose Destination
BMC Med Inform Decis Mak. 2016 Oct 22;16(1):137.

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

Author information

1
Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. demski@helmholtz-muenchen.de.
2
Ocean Informatics, 124 Cromwell Road, Kensington, London, SW7 4ET, United Kingdom.
3
Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.

Abstract

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.

KEYWORDS:

Clinical information models; Electronic health record; Model-driven engineering; Open data models; Semantic interoperability; openEHR

PMID:
27770769
PMCID:
PMC5075152
DOI:
10.1186/s12911-016-0376-2
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for BioMed Central Icon for PubMed Central
Loading ...
Support Center