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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
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Vendor refund policy
Refunds are not offered for this product.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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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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