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Cornerstone AI & Loopback Analytics to Optimize LOINC Codes in Lab Data

by Syed Hamza Sohail 05/12/2025 Leave a Comment

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What You Should Know:

–  Cornerstone AI, a pioneer in advanced data quality solutions, today announced a partnership with Loopback Analytics, a leading provider of data-enabled services and solutions for health system specialty pharmacies and life sciences companies.

– Announced ahead of the ISPOR 2025 conference, the collaboration will optimize the assignment of Logical Observation Identifiers Names and Codes (LOINC) across laboratory test results in Loopback Analytics’ EHR-based real world data platform, improving data consistency and accuracy to power faster, more reliable insights to enhance real world evidence studies that advance therapeutic options and patient outcomes.

Advancing Lab Data Standardization: Loopback Analytics and Cornerstone AI Announce Strategic Partnership

Loopback Analytics and Cornerstone AI have announced a partnership aimed at transforming the utility of laboratory data in real-world evidence (RWE) research. By integrating Loopback’s expansive real-world data (RWD) platform—comprising billions of lab test results—with Cornerstone AI’s advanced data quality engine, the collaboration seeks to accelerate drug development, improve data integrity, and enhance patient outcomes.

At the core of the partnership is the standardization of laboratory data using LOINC (Logical Observation Identifiers Names and Codes), a foundational standard for the consistent exchange of lab results and interoperability across the healthcare ecosystem. Accurate LOINC assignments streamline patient cohort identification for pharmaceutical companies, reducing time spent on data cleaning and accelerating research timelines while improving protocol design.

The integration of Cornerstone AI’s data quality engine with Loopback’s RWD platform significantly enhances lab data standardization, yielding:

  • A fourfold increase in the number of lab records with standardized LOINC codes
  • A doubling of the number of unique tests with assigned LOINCs
  • A more than fivefold increase in the number of records per test
  • A validated accuracy rate of 98.5% or higher at the record level

These improvements not only increase the usability and trustworthiness of lab data but also reduce the burden on technical teams responsible for manual data harmonization.

Viraj Narayanan, CEO of Cornerstone AI, commented that the partnership directly addresses a critical challenge in today’s RWD landscape—LOINC data standardization. He emphasized that the integrated platform offers pharmaceutical clients unmatched accuracy and efficiency in lab data processing, enabling faster insights and more reliable real-world evidence generation.

Looking ahead, Loopback Analytics and Cornerstone AI will showcase the partnership’s full capabilities and insights at the upcoming ISPOR 2025 conference, with plans to further engage stakeholders across healthcare and life sciences.

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