Validation result
Data validation refers to the process of ensuring the accuracy, reliability, and integrity of CRF data collected during the study. It involves a series of checks and procedures that aim to identify and resolve data inconsistencies. The importance of data validation lies in its role in maintaining the scientific validity and credibility of the study results. By ensuring the quality of the data, researchers can have confidence in the findings and draw accurate conclusions, which ultimately impacts patient safety and the decision-making process for regulatory authorities.
After you have executed the data validation process, the system generates validation result tasks if some CRF data fails to pass validation rules. Each task is assigned to a specific user role so the corresponding users need to review the tasks and confirm whether to open queries based on them or cancel the tasks. Under the Validation Result tab, you can take care of the validation rule tasks and open or cancel queries. You can learn more about actions available under this tab in the following sections:
