Birth & Obstetric Records
Buy and sell birth & obstetric records data. Labor progression, fetal monitoring strips, delivery outcomes — maternal health AI needs real birth data.
No listings currently in the marketplace for Birth & Obstetric Records.
Find Me This Data →Overview
What Is Birth & Obstetric Records Data?
Birth and obstetric records encompass detailed clinical data from pregnancy, labor, and delivery, including fetal monitoring strips, labor progression metrics, delivery outcomes, and maternal health characteristics. These records capture demographic factors (age, ethnicity, socioeconomic status), maternal physical traits (height, weight, BMI), obstetric characteristics (pregnancy complications, childbirth factors), and neonatal outcomes. Major research datasets like the OxMat dataset and INFANT Collaborative Group database compile hundreds of thousands of de-identified records spanning decades, providing rich multimodal data for AI model development in maternal and newborn health. Clinically, this data supports decision-support systems for cardiotocography (CTG) interpretation during labor and enables predictive analytics for delivery complications and outcomes. The data requires rigorous de-identification, standardization, and cleaning to remove identifiable information and ensure quality for machine learning applications in obstetric AI.
Market Data
779,017 data points across 3 decades (1991–2021)
OxMat Dataset Size
Source: arXiv
47,062 women across 24 maternity units in UK and Ireland
INFANT Database Coverage
Source: arXiv
757,758 data points (96.5% of all births)
Singleton Birth Records
Source: arXiv
2.9 billion mobile profiles labeled 'actively pregnant' or 'shopping for maternity'
Pregnancy Data Market Size
Source: Gizmodo
Who Uses This Data
What AI models do with it.do with it.
Maternal AI & Decision Support
Development of AI-driven technologies for maternal and newborn health, including clinical decision-support systems for CTG interpretation and labor progression monitoring to enhance fetal outcome prediction.
Obstetric Research & Analytics
Academic and clinical research institutions using retrospective cohort and case-control studies to analyze delivery outcomes, complications, and risk factors across diverse patient populations.
Pregnancy Data Marketing
Consumer marketing firms and data brokers identifying pregnant or expecting individuals for targeted advertising, maternity product promotion, and behavioral targeting based on pregnancy stage.
What Can You Earn?
What it's worth.worth.
CPM (Cost Per Mille) — Pregnancy Targeting Data
$0.49–$2.25 per user reached
Consumer pregnancy data sold on CPM basis; pricing varies by broker dataset and audience size.
Clinical Research Data Licensing
Varies
Academic and institutional datasets like INFANT and OxMat are typically restricted to research and clinical use; commercial pricing not disclosed in literature.
Law Enforcement & Government Access
Varies
Data brokers reportedly negotiate custom pricing for government and law enforcement inquiries; no public rate cards available.
What Buyers Expect
What makes it valuable.valuable.
De-Identification & HIPAA Compliance
All personally identifiable information (names, NHS numbers, hospital IDs) must be removed and replaced with anonymous numeric identifiers. Data must comply with HIPAA Privacy Rule protections for individually identifiable and protected health information.
Data Standardization & Cleaning
Clinical variables must be standardized to uniform format, categorical entries validated against known categories, erroneous/missing values documented and handled appropriately. Boolean columns must be correctly encoded; outlier detection and recalculation from related data points required.
Clinical Completeness & Documentation
Records should include obstetric characteristics (pregnancy/childbirth factors, complications), maternal demographics and physical traits, fetal monitoring data, labor progression metrics, and delivery outcomes. Documentation of missing values and non-random missingness patterns required.
Provenance & Source Tracking
Data merged using anonymous study IDs to prevent redundancy; source tracking and clinical data manager oversight essential. Multi-source datasets require documented curation methodology and inter-source variable alignment.
Companies Active Here
Who's buying.buying.
Clinical research and CTG decision-support validation; collected 47,062 women records across UK/Ireland maternity units for labor outcome analysis.
Marketing and behavioral targeting of pregnant/expecting consumers; 32+ brokers identified selling 2.9 billion pregnancy profiles on CPM basis.
Retrospective obstetric research; historical cohorts of 599+ women records used for trial-of-labor and cesarean delivery outcome studies.
Training maternal health AI models using multimodal obstetric datasets (fetal monitoring, ultrasound, delivery outcomes) for predictive decision support.
FAQ
Common questions.questions.
What exactly is included in birth & obstetric records data?
Birth and obstetric records include maternal demographics (age, ethnicity, socioeconomic factors), maternal health traits (height, weight, BMI), obstetric characteristics (pregnancy complications, labor factors), fetal monitoring strips (CTG/cardiotocography data), labor progression metrics, and delivery outcomes (vaginal delivery, cesarean, neonatal outcomes). Data spans from early pregnancy through postpartum and is typically collected from clinical sources and standardized for research use.
How is patient privacy protected in obstetric datasets?
Clinical data managers remove all personally identifiable information (names, medical record numbers, hospital IDs) from raw datasets. Patients and babies are assigned anonymous numeric identifiers. Data must comply with HIPAA Privacy Rule in the U.S., which protects individually identifiable and protected health information. All identifiable entries are excluded before data standardization.
What are the main use cases for this data?
Primary uses include development of AI-driven maternal health technologies (especially clinical decision-support for labor monitoring and CTG interpretation), academic obstetric research (cohort and case-control studies), and consumer pregnancy marketing by data brokers. Research institutions use this data to improve fetal outcome prediction and delivery safety.
How much can I earn selling or licensing obstetric records?
Consumer pregnancy targeting data is typically sold on a CPM (cost-per-mille) basis, ranging from $0.49 to $2.25 per user reached, depending on the broker and dataset size. Clinical research datasets like INFANT and OxMat are generally restricted to academic/research use with custom licensing terms not publicly disclosed. Pricing varies significantly based on data scope, exclusivity, and buyer use case.
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