A new partnership between Lighten Platforms and Datavant aims to enhance clinical research by leveraging AI to extract valuable insights from unstructured patient health records.
This collaboration seeks to address a significant challenge in medical research: accessing the vast information embedded in unstructured clinical notes. By integrating Lighten's AI-driven data curation into Datavant's analytics platform, the alliance aims to transform complex patient data into regulatory-grade evidence that can expedite drug development and improve clinical insights.
The demand for real-world evidence (RWE) is on the rise, with the global market projected to exceed $7 billion by 2033. The majority of healthcare data, approximately 70%, is unstructured, encompassing detailed physician narratives and clinical observations. Historically, extracting this data has been labor-intensive and time-consuming. However, this partnership promises to streamline the process, enabling researchers to gain a comprehensive view of patient journeys and treatment responses.
Key to this initiative is the production of “regulatory-grade” evidence, which meets the stringent requirements of regulatory authorities like the FDA. Lighten's platform is designed to ensure high-quality data curation, combining advanced AI capabilities with clinical expertise. By merging deep clinical insights with Datavant’s extensive healthcare data network, the partnership is set to significantly accelerate research timelines and enhance the overall efficacy of healthcare delivery.
This strategic collaboration not only aims to improve the speed of research but also to foster a deeper understanding of diseases and therapeutic responses, ultimately contributing to more effective healthcare solutions.