Healthcare Analytics on Sigma & Snowflake
Clinical Cohort Creation Accelerator
Cohort creation and analysis for modern clinical research is the most difficult it has ever been. Increasingly fierce competition for patients and growing non-adherence rates slow recruiting cycles and jeopardize swift trial completion, leading to delayed delivery (or even non-delivery) of life-changing treatments to patients. Academic institutions, clinical research organizations (CROs), drug developers, and other institutions that rely on clinical research need tools to quickly identify and assess patient cohorts, despite skyrocketing health data abundance.
phData, Sigma Computing, and Snowflake have partnered to solve this issue with a tool that combines Snowflake’s scalable computing power with Sigma’s user-friendly data modeling and visualization capabilities to quickly identify and assess patient cohorts based on sophisticated inclusion criteria and geospatial trial requirements.
phData’s Solution Using Sigma on Snowflake
With our accelerator, users create and visualize cohorts in seconds by setting and changing sophisticated inclusion criteria and geospatial requirements specific to a given trial — all from one easy-to-use interface in Sigma.
Benefits
- No data movement: The data never leaves Snowflake and is only directly queried by Sigma, improving performance and minimizing data security risks.
- No code: Sigma’s intuitive point-and-click interface eliminates the need for users to write code to set inclusion criteria.
- Customizable for Your Organization: Customize the solution to meet an institution’s clinical research needs.
- Speed: Compare billions of records from millions of patients against sophisticated inclusion and geospatial requirements to identify trial candidates in seconds.
- Access to Machine Learning: Access ML models (and other custom functions) written in Python (and other languages) that are trained, saved, and applied on Snowflake’s Snowpark.
- Direct User Data Input: Add comments, notes, and other information directly through the solution on Sigma.
- Geospatial Analysis & Mapping: Visualize the distribution of potential candidates relative to trial locations and evaluate other geospatial considerations.
- Full Visualization Capabilities: Our accelerator can include entire suites of visualizations that allow users to visually segment and analyze created cohorts to explore and find relevant patterns in patient traits.
Curious about how to accelerate your clinical research journey? We’ve got you covered.
