This data package contains the lists of Humanitarian Device Exemptions delivered by the FDA (Food and Drug Administration). Humanitarian Use Device (HUD) is a device that is intended to benefit patients by treating or diagnosing a disease or condition that affects or is manifested in fewer than 4,000 individuals in the United States per year.
This data package contains the access to Humanitarian Device Exemption provided by the FDA for Humanitarian Use Device (HUD). Humanitarian Use Device (HUD) is a device that is intended to benefit patients by treating or diagnosing a disease or condition that affects or is manifested in fewer than 4,000 individuals in the United States per year. A device manufacturer's research and development costs could exceed its market returns for diseases or conditions affecting small patient populations.
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Metadata
Description
Value
Data Package Complexity
Simple
Available Enrichments
N/A
Keywords
Humanitarian Device, CDRH, Device Exemptions, CDRHEstablishment US Agent, FDA Medical Device
Other Titles
FDA Humanitarian Device Exemptions, US Humanitarian Device Exemptions
Included Datasets
Center for Devices and Radiological Health Device Exemptions
The Center for Devices and Radiological Health (CDRH) Humanitarian Device Exemptions dataset includes the list of Humanitarian Device Exemptions delivered by the Food and Drug Administration (FDA). A Humanitarian Use Device (HUD) is a device that is intended to benefit patients by treating or diagnosing a disease or condition that affects or is manifested in fewer than 4,000 individuals in the United States per year.
Humanitarian Device Exemption
This dataset includes the list of Humanitarian Device Exemptions delivered by the Food and Drug Administration (FDA).
A Humanitarian Use Device (HUD) is a device that is intended to benefit patients by treating or diagnosing a disease or condition that affects or is manifested in fewer than 4,000 individuals in the United States per year. A device manufacturer's research and development costs could exceed its market returns for diseases or conditions affecting small patient populations.
Data Engineering Overview
We deliver high-quality data
Each dataset goes through 3 levels of quality review
2 Manual reviews are done by domain experts
Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
Data is normalized into one unified type system
All dates, unites, codes, currencies look the same
All null values are normalized to the same value
All dataset and field names are SQL and Hive compliant
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Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
Data Updates
Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted
Our data is curated and enriched by domain experts
Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
The data is always kept up to date – even when the source requires manual effort to get updates
Support for data subscribers is provided directly by the domain experts who curated the data sets
Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.
John Snow Labs, an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects.
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Top-of-mind questions for buyers
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It grants you subscriber access to the product at no cost. One unit represents your access grant to the healthcare AI capabilities. There are no per-user, per-host, or usage-based counts to track. You subscribe once and gain access without variable metering.
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