Live Maternal Health Dataset: Over 400.000 Longitudinal Mother-Child Records

Challenging the Status Quo of Maternal Health Research

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.
We aim to change that.
Access your customizable dataset from over 400.000 mother-child pairs.
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Challenging the Status Quo of Maternal Health Research

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. 
We aim to change that.

What is the relationship between prenatal vitamin D levels and cognitive development in children?
Access answers with +400,000 records from the Briya network
How does maternal obesity influence the risk of metabolic syndrome in offspring?
Access answers with +400,000 records from the Briya network
What are the effects of antibiotic use during pregnancy on the infant gut microbiome?
Access answers with +400,000 records from the Briya network
What is the long-term impact of preeclampsia on cardiovascular health in mothers?
Access answers with +400,000 records from the Briya network
How do elevated maternal stress levels during pregnancy affect the development of behavioral disorders in children?
Access answers with +400,000 records from the Briya network
What is the impact of prenatal exposure to air pollution on lung function in children?
Access answers with +400,000 records from the Briya network
How does maternal alcohol consumption during pregnancy contribute to developmental delays in children?
Access answers with +400,000 records from the Briya network
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Introducing Briya's Comprehensive Maternal Health Dataset

Briya is revolutionizing access to maternal health data with an extensive dataset featuring over 400,000 healthcare records of pregnant women. The data covers demographics, health history including chronic conditions and family history, prenatal care, type and procedure of delivery, birth metrics, child conditions, and much more. Our dataset offers an unparalleled opportunity to access and utilize high-quality, real-world data to drive significant advancements in maternal healthcare.

The Most Comprehensive and Complete Patient Journey Data Available

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. Thanks to centralized health records, Briya’s datasets 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.

In a practical application, a leading hospital identified trends in the free-text and coded registration in the administration of a chronic medication for pregnant women.

Results showed that 66% of all patients were identified exclusively via free text, with the remaining 33% identified using a combination of free-text and coded fields. Overall, free-text coverage exceeded 97%, highlighting the importance of technologies capable of incorporating unstructured data.

Key Features

Extensive
Coverage


Data from over 400,000 pregnant women from multiple health systems.

Longitudinal
Patient-Level Data


Long-term data for  improved observation of individual medical development, long-term effects, and symptom progression.

Historic Data
Records

Records spanning over 15 years (since 2008), allowing extensive historical research and identification of trends and patterns. 

Centralized
Health Records


Complete patient records covering genetic test results, chronic diseases, vaccinations, family history, child health, and more.


Compliance
and Security

Fully compliant, de-identified data according to regulatory standards, ensuring data privacy and security.

Get access to your live dataset and become a pioneer in mother-child health research and the development of better medical care for women and infants.