Quality Assessment Framework of Clinical Routine Data for Secondary Use.

Autor:	Cheng KY; Institute for Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Germany., Böhm R; Department of Radiation Oncology, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Germany., Bulin C; Institute of Experimental and Clinical Pharmacology, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Germany., Jandok B; Institute for Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Germany., Schreiweis B; Institute for Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Germany.
Jazyk:	angličtina
Zdroj:	Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 100-104.
DOI:	10.3233/SHTI240355
Abstrakt:	To systematically and comprehensively identify data issues in large clinical datasets, we adopted a harmonized data quality assessment framework with Python scripts before integrating the data into FHIR® for secondary use. We also added a preliminary step of categorizing data fields within the database scheme to facilitate the implementation of the data quality framework. As a result, we demonstrated the efficiency and comprehensiveness of detecting data issues using the framework. In future steps, we plan to continually utilize the framework to identify data issues and develop strategies for improving our data quality.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu