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European Pharmaceutical Contractor
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For over 15 years the industry has discussed how to improve the process of capturing data in clinical trials. A lot of time and money have been invested in finding better ways of preparing data for high quality analysis immediately after the last patient has completed the trial. Most important are data standardisation and systems for entering data at the clinics, or systems whereby patients enter self-reported data. There are many good examples of that usage, but there are still a few trials not using paper CRFs and traditional data entry. While the requisite data standards are not in place, they could save time and money.
Data Standardisation
Data standardisation is difficult. You cannot standardise too much owing to the nature of clinical trials and the very different therapeutic fields. A total absence of standards causes problems with statistical analysis and complicates and slows down the study set-up. Many companies have quite successfully implemented standards, but all the mergers in the industry quickly destroy this work. In my previous company we spent two to three years defining and implementing data standards. After that the company merged four times, and new standardisation projects have taken place. That's why I very much support the Clinical Data Interchange Standard Consortium (CDISC). It is a good initiative from the industry to define data standards. The CDISC's original purpose was to address the need for data exchange amongst companies, CROs and authorities, but data standards will help large companies internally as well.
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