People and Software to Share Data and Documents at Any Scale

Unified repeatable approach that safeguards patient data and your organization 

Transparency Services that adapt with your organization

d-wise Clinical Data Transparency solutions provide either turnkey software solutions or a full-range of de-identification services to outsources data sharing and document anonymization needs. From redaction, anonymization to measuring quantifiable risk, d-wise is able to protect your clinical data and documents. 

 

d-wise clinical trial transparency partners have led the delivery of over 5,500 redacted documents and supported development and completion of more than 30 EMA Policy 0070 submissions. Our team includes members of the EMA Technical Anonymization Group, the Health Canada Stakeholder Reference Group on Public Release of Clinical Information, and the lead of the Phuse Working Group on Data Transparency.

Transparency Services:
Outsource at Any Scale

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Completely outsource the processes, validation and risks involved with stricter and consistently changing regulatory policies for bringing medicine to market. New policies vary globally and are much more complex than previous requirements. Partner with d-wise to simplify the CSR and data anonymization process, while having experienced subject matter experts support your overall strategy.

 

Transparency Services
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Blur Software: Anonymizes Trial Data and Documents Efficiently and Compliantly

Blur is the industry-leading software solution for anonymizing clinical trial data sets and clinical study documents on-site in partnership with multiple globally pharmaceutical companies. Blur removes many manual processes so Life Science companies spend less time and money writing code or manually reviewing thousands of CSR pages. Developed by clinical trial experts at d-wise with deep knowledge of transparency and regulations, Blur provides the unique approach of simulating all the ways data can be anonymized and allow risk to drive the anonymization. This always putting patent privacy at the forefront while illustrating the underlying data utility of each simulation allowing you to choose the highest data utility simulation within reasonable risk thresholds.