Does a combined approach make sense for you?
Are you looking to achieve clinical trial transparency? Do you also want to safely drive greater value from structured patient data, clinical study documents and other data types such as DICOM? Then you need a holistic approach to anonymization.
The risk of unwanted trade-offs
Rules-based methods of anonymization apply the same transformation across data sets and data types.
This can destroy the usefulness of data and documents in some contexts and fail to sufficiently protect privacy in others.
Sarah Lyons outlines a proven alternative.
The benefits of a common methodology
Our health data experts, in conjunction with Privacy Analytics’ software, anonymize your data and documents using a statistical, risk-based method.
This integrated approach doesn’t necessarily assume a common recipient or context. It uses instead a common methodology. You get a proven method of balancing transparency and privacy.
Get consistent privacy protection across all data types and disclosure contexts to safeguard your reputation.
Drive Data Value
Safely turn data and documents into valuable assets in fostering drug innovation and advances in patient health.
Get auditable proof your company has taken legally defensible steps to protect privacy.
- Helped a global drug manufacturer increase data-sharing throughput to over 35 studies per month.
- Each study was comprised of structured data and a clinical study report document.
- Multiple disclosure contexts were addressed – internal reuses, data sharing with researchers and regulatory submissions.
Connect with our health data experts
Let’s help you safely turn each data type and dataset into business opportunity.
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