This data package contains all (510(k)) submissions for medical devices, reporting status of post-approval studies, Premarket approval (PMA) applications. it lists also all national and international standards recognized by FDA.
This data package contains all (510(k)) submissions for medical devices reviewed by FDA’s Center for Devices and Radiological Health (CDRH), reporting status of post-approval studies (PAS) studies based on study timelines incorporated in study protocols and agreed upon by the CDRH and applicants, database of Premarket approval (PMA) related to the FDA process of scientific and regulatory review to evaluate the safety and effectiveness of Class III medical devices it lists also national and international standards recognized by FDA which manufacturers can declare conformity to.
License Information
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the Data Library on AWS. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
Metadata
Description
Value
Data Package Complexity
Simple
Available Enrichments
N/A
Keywords
Medical Device Design, 510k Device Clearances, Medical Devices, Medical Device Reviews, Medical Device Submissions, Premarket Approval (PMA), Premarket Approval Summary, CDRH and Applicants, Post-Approval Studies (PAS), FDA Recognized Standards
Other Titles
Premarket Approval Summary Review Memos for Design Changes, Medical Device Post-Approval Studies, Medical Device 510k Submissions, MD Premarket Approval in the United States, FDA Medical Device Standards
Included Datasets
FDA Devices Premarket Approval Summary Review Memos
Premarket Approval (PMA) Summary Review Memos for 180-Day Design Changes includes 180-day supplements which are requested for a significant change in components, materials, design, specification, software, color additive, and labeling to an approved premarket application or premarket report.
FDA Medical Device 510k Clearances
The Food and Drug Administration (FDA) Medical Device 510k Clearances dataset lists all (510(k)) submissions for medical devices. These are reviewed by FDA’s Center for Devices and Radiological Health (CDRH), specifically, by the Office of Device Evaluation (ODE) and the Office of In Vitro Diagnostics and Radiological Health (OIR). 510(k) submissions are reviewed by ODE and OIR staff, including biomedical engineers, physicians, microbiologists, chemists, and other scientific professionals.
FDA Post Approval Studies Database
The Post-Approval Studies (PAS) Database identifies the reporting status of PAS studies based on study timelines incorporated in study protocols and agreed upon by the CDRH and applicants. This system represents CDRH's effort to ensure that all PAS commitments are fulfilled in a timely manner.
FDA Premarket Approval Database
This dataset includes the Premarket Approval (PMA) data which is the Food and Drug Administration (FDA) process of scientific and regulatory review to assess the safety and effectiveness of Class III medical devices. These devices support human life and prevent impairment of human health. Due to the level of risk associated with Class III devices, general and special controls are insufficient to assure the safety of these devices and require a PMA application to obtain marketing clearance.
FDA Recognized Consensus Standards
FDA Recognized Consensus Standards database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information the Center can use to make an appropriate decision regarding the clearance or approval of a submission.
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
Data and Metadata
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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This data package contains access to lists of owners or operators of places of business (also called establishments or facilities) that are involved in the production and distribution of medical devices intended for use in the United States (manufacturers, distributors, importers, agents and others).
The Pain Management Devices Market represents a vital sector in healthcare innovation projected to expand from USD 7.57 billion in 2025 to USD 12.07 billion by 2030 at a compound annual growth rate of 9.78 percent. This growth is propelled by the rising incidence of chronic diseases an aging global population and advancements in artificial intelligence integrated therapies.
Wipro Connected Services QARA leverages Automation and AI for regulatory compliance validation and verification, enabling up to 40% faster approvals and a 30% reduction in errors for medical device development.