Healthcare & Life Sciences
Join forces across the healthcare ecosystem to enable high quality data collaborations in Decentriq’s data clean rooms.
FROM bilateral COLLABORATION TO ENTIRE DATA ECOSYSTEMS
PAYERS & REGULATORS
Collaborate with different stakeholders in the healthcare ecosystem to understand the quality and cost of care across the patient journey.
RESEARCHERS
Generate new research output from previously inaccessible data sources by collaborating with global institutions and organizations.
Biopharma
Seamlessly participate in collaborations to generate more and faster valuable insights from your data while ensuring privacy and security
Healthcare Institutions
Enable public and private partners to generate value out of your sensitive data without sharing it with them
Payers & Regulators
Collaborate with different stakeholders in the healthcare ecosystem to understand the quality and cost of care across the patient journey
Researchers
Generate new research output from previously inaccessible data sources by collaborating with global institutions and organizations
Combine data from multiple points of care to understand patient journey and improve treatment delivery, adherence and persistence.
Understand complete patient journey patterns across multiple care points, identify persistence and adherence behaviors...
Merge data from different points of care to generate comprehensive insights on quality-of-care delivery.
Benchmark care outcomes across different sites, understand and develop new treatment guidelines…
Access high utility data to train your models and improve clinical decision support systems.
Predict patients at risk, automate diagnostics, enable AI and ML models validation…
Support trial operations across one or multiple sites with minimal resource requirements.
Evaluate inclusiveness of trial enrolment and other evidence impact indicators to optimize partner research.
Collaborate across organizations to generate complete understandings of patient health journeys based on RWD.
Expand labels, identify novel biomarkers, monitor post-market safety…
Analyze sensitive external data to improve patient and trial site selection and improve clinical trial enrollment.
Predict clinical trial sites, identify patient cohort, optimize drug discovery…
Increase access diverse and complete data sources to maximize AI model performance with minimized bias.
Identify lead targets, predict patient’s risk, generate informed hypothesis…
Access and analyze new data sources to benchmark customer engagement and sales insights.
HCP prescription behavior, point of sales benchmarking, optimized marketing campaigns…
Have another use case in mind? Get in touch with us!
Patient data sits across multiple healthcare entities, making it difficult for you to bring this sensitive data together for advanced analysis.
Patient level data hold massive value for research. However, sharing such sensitive data comes with significant privacy risks for patients.
Decentriq in action
Decentriq’s data clean rooms are designed to protect the world’s most sensitive data while collaborating with external parties.
Have a question?
“With limited resources, analyses gets backlogged. Using data clean rooms, we can collaborate and help institutions analyze the data, while they can be fully confident that the data is in their full control, and that no one else - neither Decentriq nor Roche - has access to the raw data itself.”
“Decentriq’s confidential computing technology brought the necessary flexibility to our yearly benchmarking study and upscaled confidentiality levels to the current requirements of our pharma customers”
“LynxCare needs to have best-in-class privacy enhancing technologies, and that is why we are working with Decentriq.””
"Data collaborations between hospitals and external organizations happen frequently in the context of multiple sclerosis research. Data Clean Rooms make these easier, more secure and even open up new collaborations that were impossible to date.”
On 28 & 29 September 2022, privacy experts came together virtually at Bitkom’s Privacy Conference to discuss the latest trends in the field of data protection, international data transfers, and cooperation for the data economy.
This Mobey Forum report on Confidential Computing is created by joint efforts of Decentriq, Intel and UBS, and is part five in the mini-report series on emerging Privacy Enhancing Technologies (PETs).
Confidential computing becomes an important tool to help Swiss organizations like Ringier and Roche during the growing scrutiny of how data is exposed and shared.
Get in contact with us—we want to hear the current challenges you’re facing. Schedule time for a demo or just to learn more.
