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EHR architectures - comparison and trends.

Authors: Bernd, Blobel;

EHR architectures - comparison and trends.

Abstract

For meeting the requirements for high quality and safe of care as well as efficiency and productivity of health systems, latter have to move towards job sharing, communicating and cooperating structures. This paradigm change must be supported through sustainable and semantically interoperable architectures for health information systems, especially for Electronic Health Record (EHR) systems as the core application in any eHealth environment. Advanced system architectures are characterized as being highly distributed, component-oriented, model-based, service-oriented, knowledge-based, user-friendly, lawful and trustworthy, based on a unified development process, a harmonized ontology and reference terminologies. Existing and emerging approaches for EHR systems are to be compared using the Generic Component Model (GCM) as architectural reference. Any system can be assessed according to GCM dimensions: transparent domain representation, composition/decomposition behavior and reflection of the systems' viewpoints as well as their components' interoperability level. All those aspects have to be interrelated for real systems analysis, design, implementation, and deployment by that way enabling the migration of different EHR approaches on the basis of GCM.

Related Organizations
Keywords

Medical Records Systems, Computerized, Computer Systems, Computational Biology, Humans, Computer Simulation, Global Health

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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