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.
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Pricing
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Dimensions summary
This listing uses a single pricing dimension: Product Access (Units), which grants subscribers access to the dataset at no cost. There are no tiers, instance sizes, or usage add-ons to choose between. You get access through one flat option. The dataset provides de-identified ophthalmology electronic health records for AI and machine learning training. Because it is free, pricing does not scale with volume, records, or usage. Any custom cohort, additional specialties, or annotation work falls outside this Marketplace dimension and requires contacting the vendor directly.
Top-of-mind questions for buyers
One unit grants subscriber access to the de-identified ophthalmology electronic health record dataset. Access is billed at no cost through this single dimension. The unit maps to entry into the dataset itself, not to a count of records, patients, or specialties. There are no per-record or per-volume charges applied.
The dataset ships in standard formats such as JSON, CSV, and FHIR for structured records. These formats support direct integration into AI, machine learning, and clinical natural language processing workflows without added billing steps. Format delivery does not change your cost, since access is free.
No. Those services fall outside this free Marketplace dimension. Custom collection scoped by demographic, geography, or modality, plus de-identification and clinical labeling, are handled through a separate statement of work. You would contact the vendor directly to scope and price that work. This listing itself stays free.
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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 : Ophthalmology | Last 1 revisions | No future revisions | Not included | Not included |