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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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), which grants subscribers access to the endocrinology electronic health record dataset at no cost. There are no tiers, instance sizes, or usage add-ons to compare. Access is uniform for all subscribers under this one option. The dataset contains de-identified records prepared for AI and machine learning work. To scope custom volumes, specialties, or delivery formats beyond this access grant, you contact the vendor directly for a tailored quote.
Top-of-mind questions for buyers
It grants access to a de-identified endocrinology electronic health record dataset. These are gold-standard medical records prepared to train clinical natural language processing and document AI models. Records are redacted under HIPAA Safe Harbor guidelines to remove personally identifiable information, so you can use them for AI training safely.
The Marketplace access grant carries no cost. If you need custom volumes, specific demographics, geographies, formats, or specialties beyond this dataset, the vendor scopes that separately through a statement of work and provides a quote based on your requirements. That work sits outside this free access dimension.
The datasets ship in formats data and machine learning teams already use, including JSON, CSV, and FHIR for structured records. This supports direct integration into AI, NLP, and healthcare model development workflows without added conversion steps.
www.shaip.com+1
Helpful?
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
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 : Endocrinology (Diabetes) | Last 1 revisions | No future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
HealthConnect CoPilot is a solution accelerator that streamlines the development of modern, compliant healthcare applications.
We provide an extensive set of integrated libraries, built-in authentication, and REST API support, enabling rapid implementation of FHIR-based capabilities.
By incorporating granular access controls, interoperability through HL7 and CCDA adapters, EHR integration with leading platforms (Epic, Cerner, Athenahealth, etc.), and direct connectivity to popular wearables (Apple Health, Fitbit, Dexcom, etc.), HealthConnect CoPilot helps quickly deliver secure, scalable, and analytics-ready health tech solutions—without the overhead of building the entire infrastructure from scratch.
Enable effective Electronic Health Record (EHR) data integration, efficient survey management, and comprehensive incident tracking with Deloitte’s HealthSlice solution. Designed for use by both commercial organizations and public sector agencies, monitor automated alerts, improve data quality, and integrate clinical and operational data sets to strengthen patient data management with HealthSlice.
AI-driven telephonic questionnaires that engage patients conversationally, capture structured FHIR data, and integrate seamlessly with EHR workflows.
Electronic Health Record (EHR) integrations that seamlessly connect your existing healthcare systems with Amazon Connect.