High-quality laboratory report datasets designed for healthcare AI, clinical analytics, and medical NLP use cases. Our datasets are structured, de-identified, and curated to support accurate model training, validation, and real-world deployment.
Data Formats We Support
Structured formats: CSV, JSON, XML
Semi-structured formats: HL7, FHIR
Unstructured formats: PDF, scanned reports, clinical text
NLP-ready annotations on request
Key Use Cases
EHR Data Use Cases Across Healthcare & Life Sciences
OTS Data EHR datasets support a wide range of healthcare and life sciences applications:
Clinical decision support systems
Disease prediction and early detection
Population health analytics
Patient risk stratification
Drug safety and pharmacovigilance
Healthcare workflow optimization
Medical NLP and clinical text modeling
Compliance
Compliance
Security & Compliance
HIPPA
ISO 9001 : 2015
SOC 2 Type ll
ISO 27001
GDPR
Accurate Data
Accurate Data
Why Choose Us for Lab Reports Datasets?
Clinically Accurate, Real-World Data
Our lab reports come from trusted clinical sources and reflect real diagnostic workflows, not synthetic or scraped data.
Custom-Built for Your Use Case
Filter by test type, disease area, demographics, format, or annotation level so the data fits your model, not the other way around.
Privacy-First by Design
Every dataset is fully de-identified and compliant with HIPAA, GDPR, and regional healthcare regulations.
Human-in-the-Loop Quality Control
Clinical and data experts review, validate, and normalize reports to ensure consistency and model-ready reliability.
Frequently Asked Questions
Frequently Asked Questions
Frequently Asked Questions
Yes. All datasets are fully anonymized and privacy-compliant before delivery.
Absolutely. We tailor datasets based on test categories, conditions, age groups, or data formats.
Yes. We offer labeling for abnormal values, entities, clinical concepts, and NLP tasks.
Datasets can include region-specific or multi-geography data, depending on availability and compliance needs.
Yes, subject to licensing terms agreed during engagement.