Methods for Risk-based De-id of CSRs
Understanding the Anonymization of Clinical Study Reports
As part of clinical trial data transparency initiatives, manufacturers are de-identifying and sharing clinical study reports (CSRs). To maximize the data quality in these de-identified documents, a risk-based approach must be used. The alternative has been broader redaction and removal of personal information from the CSRs, which reduces their utility for research users. Such risk-based methods have been in use for sharing individual-level patient data for some time, and now they can also be used on free-form text documents.
In this webinar, we will discuss and illustrate how risk-based analysis and de-identification can be applied to CSRs. Examples of how this process works will be provided, as well as automation to scale this to process large volumes of documents.
Khaled El Emam, CEO, Privacy Analytics
Martin Scaiano, Research Analyst, Privacy Analytics
This webinar was originally recorded on August 28, 2015. Watch Methods for Risk-based De-id of CSRs on demand today!