Real World Evidence Studies
Accelerate multi-center Real World Evidence studies while ensuring privacy, confidentiality and regulatory compliance.
Accelerate multi-center Real World Evidence studies while ensuring privacy, confidentiality and regulatory compliance.
Real World Evidence Studies
Accelerate multi-center Real World Evidence studies while ensuring privacy, confidentiality and
regulatory compliance.
Real World Evidence (RWE) studies are the engine of medical and pharmaceutical innovation – but concerns around data privacy, security, regulation, and confidentiality make collaborative medical data analysis cumbersome.
Duality enables organizations to accelerate multi-center RWE studies by protecting the data during all phases of collaboration — even during its analysis — keeping privacy, confidentiality, and regulatory compliance intact. By leveraging Homomorphic Encryption, stakeholders can securely combine and analyze sensitive data, such as linking patient health records, validating data correctness, performing statistical analysis, fitting regression models, and applying survival analysis without ever decrypting. All data owners remain in control of how their data is used during the collaboration process.
Get answers to questions on accounts, entities, and transactions in seconds.
Prevent fraud losses and improve the quality of regulatory reporting.
through secure and compliant participation in RWE studies.
by removing data privacy and data ownership concerns.
by keeping the data encrypted during analysis.
by analyzing real data while it’s encrypted - i.e., data otherwise inaccessible using traditional
by analyzing real data while it’s encrypted - i.e., data otherwise inaccessible using traditional
“In healthcare research, it is imperative to collaborate on data to derive robust conclusions about the effectiveness of treatments. Duality’s solution facilitates privacy-preserving data sharing for the benefit of patients and the entire healthcare community.“
Experience secure collaborative computing today.
Maximize the value of sensitive, regulated, or confidential data.
Maximize the value of sensitive, regulated, or confidential data.