Improve your machine learning models with best-in-class training data. Electronic Health Records or EHR are medical records that contains patient’s medical history, diagnoses, prescription, treatment plans, vaccination or immunization dates, allergies, radiology images (CT Scan, MRI, X-Rays), and laboratory tests & more. Our Off-the-shelf data catalog makes it easy for you to get medical training data you can trust.

Off-the-Shelf Electronic Health Records (EHR):

• 5.1M+ Records and physician audio files in 31 specialties
• Real-world gold-standard medical records to train Clinical NLP and other Document AI models
• Metadata information like MRN (Anonymized), Admission Date, Discharge Date, Length of Stay days, Gender, Patient Class, Payer, Financial Class, State, Discharge Disposition, Age, DRG, DRG Description, $ Reimbursement, AMLOS, GMLOS, Risk of mortality, Severity of illness, Grouper, Hospital Zip Code, etc.
• Medical Records from various US states and region- North East (46%), South (9%), Midwest (3%), West (28%), Others (14%)
• Medical Records belonging to all Patient Classes covered- Inpatient, Outpatient (Clinical, Rehab, Recurring, Surgical Day Care), Emergency.
• Medical Records belonging to all Patient Age Groups <10 yrs (7.9%), 11-20 yrs (5.7%), 21-30 yrs (10.9%), 31-40 yrs (11.7%), 41-50 yrs (10.4%), 51-60 yrs (13.8%), 61-70 yrs (16.1%), 71-80 yrs (13.3%), 81-90 yrs (7.8%), 90+ yrs (2.4%)
• Patient Gender ratio of 46% (Male) and 54% (Female)
• PII Redacted Documents adhering to Safe Harbor Guidelines in conformance with HIPAA