We interviewed a Senior Data Scientist who tells us more about the platform's ease of use and the huge potential in applications for encrypted dataspaces in the healthcare and life sciences fields.
In the life sciences industry, data analytics, clinical research, and modern healthcare technology are needed to drive medical innovation and improve patient outcomes.
But today’s medical research is often carried out in silos. Pseudonymized datasets are accessed in clean rooms with limited functionality, or potentially without sufficient privacy guarantees. Often data sits in complete isolation because of an inability to safely analyze it.
Without the possibility to link records, the life sciences field will be unable to capture the long-term insights from clinical trials and related research—whether assessing the impacts of medical treatments or the interconnected pathways of patient treatment.
The next generation of research will be facilitated by accessing and analyzing connected datasets—no longer isolated by institution, and with the strongest privacy guarantees.
Strong user experience
We spoke with a Senior Data Scientist who detailed their experience using Roseman Labs, alongside the opportunities our encrypted computing technology opens for new data analysis and business solutions.
“Roseman Labs allows you to combine privacy sensitive information on an individual level in a way that wasn’t possible before. This is a solution that is scalable.”
The user praised the ease of use and robust functionality of Roseman Labs, particularly the crandas Python package, which integrates smoothly into existing data science workflows. The ability to install and run complex analysis functions with minimal effort was a significant advantage.
“The thing that really amazed me was that you're able to get advanced analysis functions in a Python package that literally takes a single line of code to install. From a user perspective, it's almost plug and play.”
The user was positive about the documentation quality and the project's potential for future applications, noting that the technology is evolving quickly and keeping attuned with market needs.
“Roseman Labs easily allows you to resolve barriers between privacy sensitive data that your privacy officer tells you is not possible. With this type of innovation, you really open up a new field where you can start asking questions that you previously couldn't. With Roseman Labs, I think we can really make a difference in a way that you would have a hard time doing otherwise.”
Read more about Roseman Labs' collaboration with Motius, uniting Retrieval Augmented Generation with encrypted computing.
Reconnecting data securely
With Roseman Labs, pseudonymized healthcare datasets can be securely matched at a granular level in order to connect information across place and time. Connected datasets offers expansive analysis opportunities and the chance to gain new healthcare insights. Benefits include being able to track records across different systems, assess patient journeys over time, and reuse data for secondary research.
In short, organizations retain data ownership but unlock huge opportunities to link and analyze data when they collaborate.
Roseman Labs’ encrypted computing technology enables pharmaceutical companies to securely link pseudonymized datasets, connecting previously fragmented datasets without revealing sensitive patient information.
Generate new insights on sensitive data with Roseman Labs’ encrypted computing platform. Want to find out how your organization can do that? Contact us using the form below.
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