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 called Product Access (Units), offered at no cost. There are no tiers, instance sizes, or usage add-ons to choose from. You gain access to the product through this one dimension. It grants subscribers entry to the de-identified oncology datasets, which cover cancer-focused clinical records and are prepared for AI and machine learning use. Because pricing is free, there is nothing to scale or configure by quantity. Sample datasets can be reviewed before you commit.
Top-of-mind questions for buyers
It grants subscribers entry to the de-identified oncology datasets at no cost. There are no seat counts, instance sizes, or volume tiers to configure. One access grant covers your subscription. The datasets cover cancer-focused clinical records prepared for AI and machine learning use.
Datasets ship in formats data and machine learning teams already use, including JSON, CSV, and WAV files with paired transcripts. Structured records may also use FHIR. These formats support integration into common NLP, speech, and multimodal model development workflows without conversion work.
Yes. Sample datasets are available for review before you commit. The datasets are de-identified under HIPAA Safe Harbor, with Expert Determination available on request, and are licensed for commercial AI training. This lets you check format, quality, and coverage before subscribing.
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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 : Oncology | Last 1 revisions | No future revisions | Not included | Not included |
Resources
Vendor resources
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