Real-World Evidence: ‘Labor-Intensive’ Data Standardization May Be Required By US FDA
New draft guidance offers recommendations for translating real-world data from claims or EHR sources to meet FDA data requirements.
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The agency’s existing technical standards are better-suited to clinical trial data, and mapping RWD to these formats will result in the loss of granularity and introduce new opportunities for human error, pharmaceutical industry representatives and data companies say in comments on a draft guidance.
In comments on FDA guidance on electronic health records and medical claims, Duke-Margolis Center suggests a certification process for validated datasets, while data companies request the agency do more to publicize the experience to date with RWE in regulatory submissions.
Comments on September draft guidance seek more attention to differences between the two types of data sources; pharma firms said they may not always have access to all the information the US FDA wants to see about a particular data source, and they seek additional flexibility on validation.