European Health Data & Evidence Network-learnings from building out a standardized international health data network.

Objective: Health data standardized to a common data model (CDM) simplifies and facilitates research. This study examines the factors that make standardizing observational health data to the Observational Medical Outcomes Partnership (OMOP) CDM successful.

Materials And Methods: Twenty-five data partners (DPs) from 11 countries received funding from the European Health Data Evidence Network (EHDEN) to standardize their data.

Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study.

Background: National classifications and terminologies already routinely used for documentation within patient care settings enable the unambiguous representation of clinical information. However, the diversity of different vocabularies across health care institutions and countries is a barrier to achieving semantic interoperability and exchanging data across sites. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) enables the standardization of structure and medical terminology.

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond.

Objective: The coronavirus disease 2019 (COVID-19) pandemic has demonstrated the value of real-world data for public health research. International federated analyses are crucial for informing policy makers. Common data models (CDMs) are critical for enabling these studies to be performed efficiently.

Evaluation and Challenges of Medical Procedure Data Harmonization to SNOMED-CT for Observational Research.

The relevance of health data research on real world data (RWD) is increasing. To prepare national RWD for international research, harmonization with standard terminologies is required. In this paper, we evaluate to what extent the German OPS vocabulary in OHDSI covers codes present in RWD and mappings to SNOMED-CT.

Induction of immunogenicity of a human renal-cell carcinoma cell line by TAP1-gene transfer.

Reduced expression of the major-histocompatibility-complex(MHC)-class-I antigens has been demonstrated in renal-cell carcinoma (RCC), and appeared to be associated with deficiencies in the expression and function of different components of the MHC-class-I-antigen-processing pathway and poor recognition by cytotoxic T-lymphocytes (CTL). In order to investigate the role of peptide transporters for the immunogenic phenotype of RCC, tumor cells were stably transfected with the human TAP1A gene. While the TAP1 transfectants showed heterogeneous TAP1-transgene expression pattern of mRNA and protein, high TAP1 expression and a TAP-controlled increase in MHC-class-I surface expression could be achieved in selected transfectants.