Challenging the Status Quo of Maternal Health Research with Briya’s Dynamic Dataset

The insufficiency in maternal research in recent years has highlighted two critical needs: a better understanding of mother-child health and more comprehensive, complete data that covers the entire patient journey of this research. Without access to extensive datasets, healthcare professionals and researchers struggle to make informed decisions and improve mother-child research outcomes.

Briya’s Dynamic Dataset is revolutionizing access to maternal health data with an extensive coverage of over 400,000 matched mother-child pair records. Benefit from extensive and comprehensive insights into the complete mother-patient journey with de-identified real-world data from multiple hospitals and HMO sources, standardized using FHIR or OMOP frameworks.

Our dynamic data registries are unique in their comprehensiveness and accuracy of the entire maternal patient journey from test result, to birth and up to 5 years postpartum. With most health data being fragmented and therefore incomplete, Briya’s matching technology links records between different systems and sites (EMR, PACS, etc.) and counters modern research challenges by piecing the data together into a full picture.

Thanks to advanced Language Processing Models, LLMs, and AI, Briya also facilitates the data extraction from unstructured sources such as free text (doctor’s notes, nurse reports, admission interviews, images etc.). This makes Briya’s data unique and unparalleled in its completeness and accuracy, covering medication, diagnosis, and adverse events.