Methods Inf Med 2020; 59(02/03): 096-103
DOI: 10.1055/s-0040-1714395
Original Article for a Focus Theme: FAIR Principles for Health Research

Electronic Health Records Aggregators (EHRagg )

Belén Prados-Suárez
1   Department of Software Engineering, University of Granada, C/Periodista Daniel Saucedo Aranda s/n., Granada, Spain
,
Carlos Molina Fernández
2   Department of Computer Science, University of Jaen, Paraje Las Lagunillas s/n, Jaen, Spain
,
Carmen Peña Yañez
3   Department of Informatics, San Cecilio Hospital, Granada, Spain
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Abstract

Background Integration of health data systems is an open problem. Most of the active initiatives are based on the use of standards. However, achieving a widely and generalized compliment of such standards still seems a costly task that will take a long time to be completed. Even more, most of the standards are proposed for a specific use, without integrating other needs.

Objectives We propose an alternative to get a unified view of health-related data, valid for several uses, that unites heterogeneous data sources.

Methods Our proposal integrates developments made so far to automatically learn how to extract and convert data from different health-related systems. It enables the creation of a single multipurpose point of access.

Results We present the EhRagg notion and its related concepts. EHRagg is defined as a middleware that, following the FAIR principles, integrates health data sources offering a unified view over them.

Keywords

health data - interoperability - FAIR principles - text mining


Publication History

Received: 31 July 2019

Accepted: 10 June 2020

Article published online:
30 October 2020

Georg Thieme Verlag KG
Stuttgart · New York

 

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