Compliant analysis on patient data that stays confidential
Set research free from data silos while sensitive health data stays inaccessible and protected at all times. Compliance is enforced by market-leading privacy technologies built into our easy-to-use data collaboration platform.
Raw data is encrypted and inaccessible
The clean room encrypts the data at source with a key that only the data custodian can access. Only they can see the raw data — not even Decentriq or the cloud provider.
Explore the dataset with synthetic data
Generate a synthetic dataset based on the original data. This gives analysts the freedom to explore while personally identifiable information stays protected.
Approve and run analysis
Write Python, R, or SQL scripts and submit them for approval to run on restricted data. The dataset itself remains confidential and encrypted throughout.
Access results
Get access to the results of approved computations. Discover new insights to detect diseases early, inform treatment pathways, and develop new healthcare innovations.
Understand the full patient journey and measure outcomes
Especially for complex diagnoses, patients interact with multiple healthcare providers, pharmacies, and often devices and apps. In Decentriq, these data sources can be combined and analyzed — without revealing sensitive information — to create a full picture of treatment and outcomes. This can, for example, be used to assess the efficacy of new medications or digital interventions for reimbursement.
Discover and assess novel biomarkers without sharing patient sample data
To discover and develop novel biomarkers — or to validate it for use in a new population — pharmaceutical companies need to be able to test their biomarker models on very large patient datasets. In Decentriq, they can run this analysis on multi-site and multi-modal data without directly accessing patient data. Their proprietary models remain confidential as well.
Develop and deploy tools to detect and treat diseases earlier
Diagnostics tools can support healthcare professionals immensely, especially in rare disease detection and assisting decision-making. With Decentriq, life sciences companies can train AI assistants and other complex diagnostic models on disparate patient data while both the data itself, and the model, stay completely confidential. They can also deploy these tools across sites without needing to set up new infrastructure.
With Decentriq, data custodians have strict controls over which analyses can be run on their data. Thanks to Decentriq’s application of confidential computing, collaboration participants have access to running computational logs that additionally verify the fact that only approved analyses are happening in the clean room. At no point can the collaboration partner see or directly access the raw data — they only receive the aggregate results of the approved analysis.
For decades, the standard of data collaboration has been that the data custodian would first anonymize the data, then share it with the data analyst. The major drawback is that the utility of data is massively degraded before it reaches the analyst.
With Decentriq, we flip the standard procedure: the analyst requests a specific analysis be run inside the Data Clean Room, on the fully encrypted, actual dataset. The results of this analysis are anonymized before being revealed to the analyst. This approach enables higher quality results without risking data exposure.
Yes, Decentriq provides a workflow that is compliant with GDPR by design. Data can be handled, processed, and analyzed without the possibility of data leaks or unauthorized parties joining the collaboration. Our platform minimizes privacy risks related to the sensitive data, enabling its flexible use. And since the data is encrypted from end-to-end, no sensitive data ever leaves your premises.
To read more about how Decentriq's data clean rooms simplify data protection compliance for enterprises (GDPR), click here.
Nobody has access to your data — not your partners and not Decentriq. No one can access data inside our data clean rooms, ensuring that data remains confidential throughout the collaboration process. Furthermore, our privacy filters guarantee that the results exiting the Data Clean Room are free of any sensitive information.
No, you don’t need to have existing cloud infrastructure. The Decentriq platform runs on the cloud, but for the majority of our clients, we run our platform as a managed service. So you do not have to deal with the cloud setup or have your current infrastructure on the cloud.
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See how healthcare and life sciences organizations are using Decentriq
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