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1.
Stud Health Technol Inform ; 305: 287-290, 2023 Jun 29.
Artigo em Inglês | MEDLINE | ID: mdl-37387019

RESUMO

Data harmonization is an important step in large-scale data analysis and for generating evidence on real world data in healthcare. With the OMOP common data model, a relevant instrument for data harmonization is available that is being promoted by different networks and communities. At the Hannover Medical School (MHH) in Germany, an Enterprise Clinical Research Data Warehouse (ECRDW) is established and harmonization of that data source is the focus of this work. We present MHH's first implementation of the OMOP common data model on top of the ECRDW data source and demonstrate the challenges concerning the mapping of German healthcare terminologies to a standardized format.


Assuntos
Análise de Dados , Data Warehousing , Alemanha , Instalações de Saúde , Faculdades de Medicina
2.
Stud Health Technol Inform ; 258: 247-248, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30942760

RESUMO

The Logical Observation Identifiers, Names and Codes (LOINC) is a common terminology used for standardizing laboratory terms. Within the HiGHmed consortium, LOINC is used as a central terminology for health data sharing across all university hospital sites. Therefore, linking the LOINC codes to the site-specific tests and measures is one crucial step to reach this goal. In this work we report our ongoing work in implementing LOINC to the laboratory information system, our challenges and lessons learned.


Assuntos
Sistemas de Informação em Laboratório Clínico , Logical Observation Identifiers Names and Codes , Laboratórios , Faculdades de Medicina
3.
Stud Health Technol Inform ; 267: 59-65, 2019 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-31483255

RESUMO

The Logical Observation Identifiers, Names and Codes (LOINC) is a common terminology used for standardizing laboratory terms. Within the consortium of the HiGHmed project, LOINC is one of the central terminologies used for health data sharing across all university sites. Therefore, linking the LOINC codes to the site-specific tests and measures is one crucial step to reach this goal. In this work we report our ongoing efforts in implementing LOINC to our laboratory information system and research infrastructure, as well as our challenges and the lessons learned. 407 local terms could be mapped to 376 LOINC codes of which 209 are already available to routine laboratory data. In our experience, mapping of local terms to LOINC is a widely manual and time consuming process for reasons of language and expert knowledge of local laboratory procedures.


Assuntos
Logical Observation Identifiers Names and Codes , Sistemas de Informação em Laboratório Clínico , Laboratórios , Universidades
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