Imaging Data That AI Can Trust
Imaging Data That AI Can Trust

EHR Datasets Built for Real-World Healthcare AI

OTS Data provides large-scale, AI-ready Electronic Health Record (EHR) datasets designed to support healthcare analytics, clinical research, and machine learning development. Our datasets help healthcare organizations and AI teams build accurate, compliant, and scalable solutions across diagnosis, risk prediction, population health, and clinical decision support.

 

All data is carefully de-identified to meet global privacy standards while preserving longitudinal and clinical integrity.

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 EHR 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

Our EHR datasets include both structured and unstructured clinical data such as patient demographics, diagnoses, procedures, medications, lab results, vital signs, and physician notes. The exact data fields can be customized based on your use case.
Yes. All EHR data is fully de-identified to remove personally identifiable information (PII) and protected health information (PHI), while preserving clinical relevance for analytics and AI training.
Yes. Our de-identification processes and data handling practices align with HIPAA and other applicable healthcare data privacy regulations.
Absolutely. We support custom cohort creation based on disease type, age group, gender, clinical timeline, medications, lab values, and other parameters.
Yes. Many of our datasets include multi-year, longitudinal patient records, enabling disease progression modeling, risk prediction, and outcome analysis.