Cornerstone AI and Loopback Analytics have announced a strategic partnership aimed at revolutionizing the standardization of laboratory data to accelerate pharmaceutical insights and improve patient care, by optimizing the assignment of Logical Observation Identifiers Names and Codes (LOINC) across Loopback’s expansive real-world data (RWD) platform comprising billions of lab test results, significantly improving data consistency and accuracy to power faster, more reliable real-world evidence studies that advance therapeutic options and patient outcomes; by combining Cornerstone AI’s advanced data quality engine with Loopback’s platform, the collaboration addresses a critical challenge in real-world data (RWD) LOINC data standardization which underpins consistent exchange of lab results and interoperability across the healthcare ecosystem.
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“Our advanced data quality platform integrates seamlessly with Loopback’s real world data platform, offering pharma companies unparalleled accuracy in lab data,” said Viraj Narayanan, CEO, Cornerstone AI, adding that this integration will streamline drug development research, enhance real-world evidence studies, and ultimately result in better health outcomes, with algorithmic improvements demonstrated through a four-fold increase in lab records with standardized LOINC coding, doubling of unique tests with LOINCs available, a more than five-fold increase in records per test while maintaining validated accuracy of 98.5 % or greater at the record level, and according to Travis Robinson, Senior Vice President, Life Sciences at Loopback Analytics, “Partnering with Cornerstone AI underscores our commitment to delivering high-quality data and impactful analytics to our health system and life science customers,” as consistently coded lab data enables stakeholders to more effectively and efficiently leverage real-world data to gain deeper insights that enhance patient outcomes, with both organizations planning to showcase further details at the upcoming ISPOR 2025 conference and help healthcare and pharma organizations improve data insights, reporting efficiency, and patient care outcomes.
