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), offered at no cost. It grants subscribers access to the de-identified neurology electronic health record data. There are no tiers, instance sizes, or usage add-ons to compare. You subscribe once to unlock access under this one flat dimension. Because the product is free, pricing does not scale with volume, records, or usage. Any custom cohort selection or larger dataset needs fall outside this Marketplace dimension and would be arranged directly with the vendor.
Top-of-mind questions for buyers
One unit grants subscriber access to the de-identified neurology electronic health record data. It is a single access grant, not a per-record or per-user meter. You unlock the dataset once. The dataset ships de-identified under HIPAA Safe Harbor, removing personal identifiers while retaining an anonymized record link for longitudinal analysis.
No. This dimension is free and does not meter by record count, volume, or usage. Your cost stays flat regardless of how much data you access. Custom cohort selection scoped by specialty, region, or demographics falls outside this Marketplace dimension and would be arranged directly with the vendor under a separate agreement.
The dataset ships in standard formats such as JSON, CSV, and FHIR for structured records. These formats support integration into machine learning, NLP, and speech development workflows. The records include metadata fields like admission date, diagnosis codes, and severity indicators, all de-identified for compliant AI training use.
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 : Neurology | Last 1 revisions | No future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
BioT is a certified cloud platform (PaaS) for connected medical devices: device connectivity, clinical data management, analytics, and patient and clinician portals with FDA, HIPAA, GDPR, and MDR compliance built in. ISO27001, HITRUST r2 and SOC 2 Type II certified. Pilots launch in weeks.
Apex Medical AI automates chart prep, referral intake, and clinical documentation with specialty-specific, evidence-based AI to streamline workflows and reduce burden.
Qdata® MS is a curated, real-world dataset on 30,000+ de-identified patients with multiple sclerosis (MS) in the U.S. This exclusive data is derived from electronic health records from the American Academy of Neurology Axon Registry®. Qdata MS curated variables include MS subtype, EDSS score, and relapse. Specific tables include patient demographics, condition, treatment, observation, and device.
Evaluation of animal's health status (lameness) by gait analysis to predict disease (osteoarthritis, etc.).
Evaluation of animal's health status (lameness) by gait analysis to predict disease (osteoarthritis, etc.).
![I-CARE:International Cardiac Arrest REsearch consortium Electroence[...]](https://d1ewbp317vsrbd.cloudfront.net/039da261-9bef-4fe5-8210-11ca9c8bf154.png)
The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.
The forecast for the global Neuromodulation Market indicates it is poised to reach $22 Billion by 2030, with a Compound Annual Growth Rate (CAGR) of 13% from 2023 to 2030. The rising incidence of neurological disorders worldwide is driving the need for enhanced healthcare infrastructure and innovative treatment methods for managing such conditions. Consequently, this surge in demand is fueling the expansion of the global neuromodulation market.