CASE STUDY: Clinical Trials Data Quality

Outsourced clinical trials often have incorrect or incomplete personal level data. This causes downstream problems necessitating expensive manual corrections. CTI made  improvements to the quality of data being collected as part of  large scale clinical trials. The solution significantly reduced errors in the trial reporting process while increasing accuracy and efficiency of reporting.

These trials provide “trip reports” frequently populated with incorrect personal level data (missing address fields, duplicated names, etc.). This causes downstream problems with the trial process such as sending drugs to the wrong destination, or inability to notify patients of new side effects, necessitating costly staff corrective actions. CTI applied Data Quality technologies to “scrub” the trip reports and dramatically improve the data quality.

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