New paper: Archetype-based data warehouse environment

Kalra, Dipak d.kalra at
Sat Jun 20 07:49:28 EDT 2015

Dear David, other colleague authors,

This is an excellent paper and a very valuable contribution on the practical adoption of archetypes.

With best wishes,

Dipak Kalra

On 19 Jun 2015, at 10:07, David Moner <damoca at<mailto:damoca at>> wrote:

Dear all,

My colleagues Luis Marco-Ruiz, Jos? A. Maldonado, Nils Kolstrup, Johan G. Bellika and myself have just published a paper titled "Archetype-based data warehouse environment to enable the reuse of electronic health record data" in the International Journal of Medical Informatics. I think this work can be of interest for many of you.

Best regards,



- Background. The reuse of data captured during health care delivery is essential to satisfy the demands of clinical research and clinical decision support systems. A main barrier for the reuse is the existence of legacy formats of data and the high granularity of it when stored in an electronic health record (EHR) system. Thus, we need mechanisms to standardize, aggregate, and query data concealed in the EHRs, to allow their reuse whenever they are needed.
- Objective. To create a data warehouse infrastructure using archetype-based technologies, standards and query languages to enable the interoperability needed for data reuse.
- Materials and methods. The work presented makes use of best of breed archetype-based data transformation and storage technologies to create a workflow for the modeling, extraction, transformation and load of EHR proprietary data into standardized data repositories. We converted legacy data and performed patient-centered aggregations via archetype-based transformations. Later, specific purpose aggregations were performed at a query level for particular use cases.
- Results. Laboratory test results of a population of 230,000 patients belonging to Troms and Finnmark counties in Norway requested between January 2013 and November 2014 have been standardized. Test records normalization has been performed by defining transformation and aggregation functions between the laboratory records and an archetype. These mappings were used to automatically generate open EHR compliant data. These data were loaded into an archetype-based data warehouse. Once loaded, we defined indicators linked to the data in the warehouse to monitor test activity of Salmonella and Pertussis using the archetype query language.
- Discussion. Archetype-based standards and technologies can be used to create a data warehouse environment that enables data from EHR systems to be reused in clinical research and decision support systems. With this approach, existing EHR data becomes available in a standardized and interoperable format, thus opening a world of possibilities toward semantic or concept-based reuse, query and communication of clinical data.

David Moner Cano
Grupo de Inform?tica Biom?dica - IBIME
Instituto ITACA

Universidad Polit?cnica de Valencia (UPV)
Camino de Vera, s/n, Edificio G-8, Acceso B, 3? planta
Valencia - 46022 (Espa?a)
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