Case Study: Leading Healthcare Technology Company achieves improved claim acceptance rate with Sigma Computing

Leading HealthTech Provider Relies on Sigma to Optimize Claim Acceptance

Leading Healthcare Technology Company, a top-10 U.S. EHR solution provider, was unable to optimize claim acceptance because its Rules team lacked access to row-level claims data across 100M+ rows. Scale limitations forced aggregations by diagnosis code, caused repeated back-and-forth with BI to produce extracts, and created a 30-day lag to see if rule changes improved first-pass acceptance—hindering timely root-cause analysis and the team’s ability to expand client services. Sigma Computing (Sigma’s platform purpose-built for Snowflake) was engaged to address these constraints.

Sigma Computing gave the Rules team direct access to live, governed data in Snowflake, unlimited scale to analyze billions of rows, and a spreadsheet-style self-service interface to model new rules before deployment. With Sigma Computing, the company eliminated stale extracts and lengthy BI handoffs, improved first-pass resolve rates, shortened the cycle to evaluate rule impact (removing the previous 30-day delay), and expanded its scope of work for clients—delivering faster, more accurate claim acceptance optimization.