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.
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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
What does one unit of Product Access grant me for this neurology EHR dataset?
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.
Does my cost change if I use more records or need custom cohort selection?
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.
What formats does the data come in, and are they ready for AI workflows?
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.
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