A Simpler Approach to Compliant Trusted Research Environments

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Learn how automated data access and Snowflake's processing capabilities are streamlining no-code Trusted Research Environments (TREs).
January 16, 2025
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A TRE is a collection of tools and processes that work together to ensure that a researcher’s data is always secure and regulation compliant. Hakkoda’s no-code, Streamlit-powered TRE solution is designed to deliver on these promises while also providing an easy-to-use interface that eliminates the need for third-party tools, processing data in order to allow interorganizational data sharing that is convenient and compliant. 

Hakkoda’s Trusted Research Environment offers an exciting and powerful solution for healthcare organizations looking to drive innovative research from within their Snowflake environment, all while ensuring the highest degree of data security and privacy.

This article will discuss how Hakkoda’s TRE solution works and how it can help your healthcare organization build a secure, cutting edge, and user-friendly data stack that makes operations fluid and innovation achievable.

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What is Hakkoda’s TRE Solution, and Why is It Valuable to Healthcare Organizations?

Powered by Snowflake and engineered by Hakkoda experts with deep healthcare data experience, Hakkoda’s TRE solution uses a no-code, point-and-click interface to securely manage and analyze sensitive data. Meanwhile, Snowflake’s built-in security ensures compliance while keeping costs low.

Designed to be HIPAA compliant, our solution ensures data is de-identified to maintain privacy so that it can be shared between organizations within Snowflake, supporting collaboration and research. By automating data masking and discriminatorily permitting access based on user roles, Hakkoda’s TRE streamlines the data preparation process and removes barriers that slow down research.


Securely Automating Data Access with Hakkoda’s TRE Solution Streamlines Innovation

Our TRE solution allows your organization to assign data access privileges to researchers with ease while also making data sets more accessible to those same researchers, providing sophisticated filtering capabilities in which relevant cohorts are easily identified and parsed.  With the power of Sigma and Streamlit, team members can quickly filter patient data based on factors like gender, age, location, income, marital status and much more, all within our simple user interface, with no risk to data security and privacy. And thanks to Snowflake, our solution unites your data and your data tools, keeping them all under “one roof” to ensure maximal accessibility. End to end exploratory data analysis is now easy, with a little front-end setup. Our solution makes it easy to assign roles to team members, which then automates data access appropriately. Administrators can easily view all the various TREs they manage so that organizations can keep track of current research projects while also having the ability to archive or delete finished projects.

Build a Data Stack that Empowers Compliant, Innovative Research with Hakkōda

The future of healthcare lies with centralized data cloud platforms like Snowflake, but only well-designed data architecture can ensure the necessary combination of automation, accessibility, security, and compliance.

With Hakkoda’s TRE solution, healthcare organizations can empower their researchers while protecting sensitive data, all with a low-code, user-friendly interface.

If your organization is ready to join the modern data stack and tap into the full potential of the data tools that make innovation possible, let’s talk today about how Hakkoda’s TRE solution can help make that ambition a reality.

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