Quality Assessment Framework of Clinical Routine Data for Secondary Use.
Stud Health Technol Inform
; 316: 100-104, 2024 Aug 22.
Article
em En
| MEDLINE
| ID: mdl-39176684
ABSTRACT
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Confiabilidade dos Dados
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article