Sold by: Shaip
Deployed on AWS
High-quality de-identified EHR data, showcasing comprehensive patient journeys and physician narratives in Dermatology. This data provides a comprehensive picture of the patient's journey and physician narrative throughout their hospital stay. With approximately 4 million+ unique patient records, the participating hospitals offer unique insights into variations in care across healthcare network hospitals and clinics. All sample data is de-identified and does not contain PHI.
Overview
Metadata Information:
- Includes anonymized MRN
- Admission and discharge dates
- Length of stay
- Gender
- Patient class
- Payer
- Financial class
- State
- Discharge disposition
- Age
- DRG
- DRG description
- Reimbursement amount
- AMLOS, GMLOS
- Risk of mortality
- Severity of illness
- Grouper
- Hospital ZIP code, and more.
Geographical Distribution: Records from various US regions:
- Northeast (46.4%)
- South (8.2%)
- Midwest (3.1%)
- West (28.1%)
- Others (14.2%)
Patient Classes: Covers all patient classes:
- Inpatient
- Outpatient (Clinical, Rehab, Recurring, Surgical Day Care)
- Emergency
Age Groups: Records for all age groups:
- <10 years (7.9%)
- 11-20 years (5.7%)
- 21-30 years (10.9%)
- 31-40 years (11.7%)
- 41-50 years (10.4%)
- 51-60 years (13.8%)
- 61-70 years (16.1%)
- 71-80 years (13.3%)
- 81-90 years (7.8%)
- 90+ years (2.4%)
Gender Ratio:
- 46% male
- 54% female
Language:
- English
- French, Spanish, and Portuguese can be acquired very quickly
- Other Languages - Custom sourcing or translation from English to the target language
Privacy
Documents have PII redacted according to Safe Harbor Guidelines and HIPAA compliance.
Details
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension, Product Access (Units), offered at no cost. It grants subscribers access to the gastroenterology electronic health record (EHR) dataset. There are no tiers, instance sizes, or usage add-ons to compare. You get one flat access option rather than a scaling structure. The dataset contains de-identified medical records built for AI and machine learning training. Because pricing is free, your choice is simply whether to subscribe for access, with no volume-based or term-based cost variation to weigh.
Top-of-mind questions for buyers
One unit grants subscriber access to the de-identified gastroenterology electronic health record dataset. It covers structured fields and unstructured clinical text used for AI and machine learning training. Access is not metered by record count, seat, or volume. You get the dataset access itself at no cost.
The datasets are delivered in standard formats such as JSON, CSV, and FHIR for structured records. These formats support integration into AI, ML, NLP, and speech development workflows. Records are de-identified under HIPAA Safe Harbor guidelines. The access dimension itself does not change based on which format you choose.
The free Product Access dimension grants access to the off-the-shelf gastroenterology EHR dataset only. Custom cohort selection, annotation, clinical labeling, and de-identification services are separate engagements scoped through the vendor. Those services are not part of this no-cost access dimension. Contact the vendor for custom collection details.
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Refunds are not offered for this product.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Electronic Health Records (EHR) Data : Gastroenterology | Last 1 revisions | No future revisions | Not included | Not included |
Resources
Vendor resources
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