Regulatory decision-making is only as strong as the data that underpin it. Technological development may allow us to generate all sorts of data from e-records to health databases, from apps to wearable devices.
But how do we make sure this information is of high enough quality to have a meaningful impact on the evaluation of medicines? EMA’s Data Quality Framework tries to make sense of the data, offering guidelines, standards and metrics by which to evaluate the quality of a data source.
Check out the framework: https://lnkd.in/ebnMr_u4