Real-Time Data Quality Assessment with Elucidata's Polly
Key Highlights
A leading diagnostics company wanted to develop new products for Hospital-acquired Sepsis by integrating EHR, imaging, and sequencing data from multiple partners.
The company faced challenges in harmonizing 30M EHR records, 50M imaging records, and 25M omics datasets from 10+ academic partners and vendors, each with different formats and metadata.
Elucidata’s Polly was deployed to automate real-time data quality assessment, standardization (OMOP CDM), and anomaly detection, preparing raw clinical data for AI analysis.
The implementation of Polly yielded 6X faster data processing, 25% acceleration in product development, and $5M in annual savings, with 99.99% data completeness for downstream AI applications.
Thank you for showing interest! You will receive the Case Study in your Mailbox shortly.
.svg)
.svg)
%201%20(1).svg)
.svg)
%201.svg){kind=icon}
.svg)
%20(1).svg)
