Visualising Data Models of Patient Registries and Clinical Studies – A Method for Quality Check of EDC Systems
Year: 2024
Type: book-chapter
Abstract: INTRODUCTION: The configuration of electronic data capture (EDC) systems has a relevant impact on data quality in studies and patient registries. The objective was to develop a method to visualise the configuration of an EDC system to check the completeness and correctness of the data definition and rules. METHODS: Step 1: transformation of the EDC data model into a graphical model, step 2: Checking the completeness and consistency of the data model, step 3: correction of identified findings. This process model was evaluated on the patient registry EpiReg. RESULTS: Using the graphical visualisation as a basis, 21 problems in the EDC configuration were identified, discussed with an interdisciplinary team, and corrected. CONCLUSION: The tested methodological approach enables an improvement in data quality by optimising the underlying EDC configuration.
DOI: 10.3233/shti240843
Institution: RWTH Aachen University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4402279918