A Standards-Based Approach for Quality Assessment in Data Collection for Retrospective Clinical Studies

Relying on our experience on the development and configuration of tools for the collection, validation and integration of Real-World Data for clinical studies, we designed a knowledge-based approach to facilitate quality assessment during registration of clinical and biological data for multi-center, retrospective studies.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250318
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Standards-Based Approach for Quality Assessment in Data Collection for Retrospective Clinical Studies

Evangelia Minga, Anastasia Chatzidimitriou, Theodore Dalamagas, Κώστας Σταματόπουλος et al.
Studies in health technology and informatics
Biomedical Text Mining and Ontologies
article

A Standards-Based Approach for Quality Assessment in Data Collection for Retrospective Clinical Studies

Evangelia Minga, Anastasia Chatzidimitriou, Theodore Dalamagas, Κώστας Σταματόπουλος, Thomas Chatzikonstantinou, Eleftheria Katsiri, Christina Papangelou
article en

Abstract

Relying on our experience on the development and configuration of tools for the collection, validation and integration of Real-World Data for clinical studies, we designed a knowledge-based approach to facilitate quality assessment during registration of clinical and biological data for multi-center, retrospective studies.

Studies in health technology and informaticsVol. 327
Democritus University of Thrace (GR), Centre for Research and Technology Hellas (GR), Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
Openalex Percentile: Top 79%
Biomedical Text Mining and Ontologies
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