Is source data verification a valid tool to improve data quality of tumour documentation data? A critical assessment

While effective in identifying errors, SDV faced challenges due to ambiguous source data and potential bias from external auditors, as well as being deemed uneconomical. The study suggests SDVs suitability for small sample validation but questions its scalability for large datasets.Implications for health information management:Alternative methods, such as data exchange interfaces to subsystems or plausibility checks, are recommended for enhancing data quality. This study emphasises the need to explore alternatives for improving data quality in tumour documentation.