
Overview
Overview
Each year, the FDA receives several hundred thousand medical device reports (MDRs) of suspected device-associated deaths, serious injuries and malfunctions. The FDA uses MDRs to monitor device performance, detect potential device-related safety issues, and contribute to benefit-risk assessments of these products. The MAUDE database houses MDRs submitted to the FDA by mandatory reporters (manufacturers, importers and device user facilities) and voluntary reporters such as health care professionals, patients and consumers. Although MDRs are a valuable source of information, this passive surveillance system has limitations, including the potential submission of incomplete, inaccurate, untimely, unverified, or biased data. In addition, the incidence or prevalence of an event cannot be determined from this reporting system alone due to potential under-reporting of events and lack of information about the frequency of device use. Because of this, MDRs comprise only one of the FDA's several important postmarket surveillance data sources. The reports are submitted to the FDA by both mandatory and voluntary reporters.
Mandatory reports are provided by manufacturers, importers, and device user facilities, such as hospitals, outpatient diagnostic or treatment facilities, nursing homes and ambulatory surgical facilities. Voluntary reports are provided by health care professionals, patients and consumers. The reports include suspected device-associated deaths, serious injuries and malfunctions. The FDA uses the reports to monitor device performance, detect potential device-related safety issues, and contribute to benefit-risk assessments of the products.
Manufacturers and importers submit reports when they become aware of information that reasonably suggests that one of their marketed devices may have caused or contributed to a death or serious injury or has malfunctioned and the malfunction of the device or a similar device that they market would be likely to cause or contribute to a death or serious injury if the malfunction were to recur. Manufacturers must send reports of such deaths, serious injuries and malfunctions to the FDA. Importers must send reports of deaths and serious injuries to the FDA and the manufacturer, and reports of malfunctions to the manufacturer.
Device user facilities include hospitals, outpatient diagnostic or treatment facilities, nursing homes and ambulatory surgical facilities. Device user facilities must submit reports when they become aware of information that reasonably suggests that a device may have caused or contributed to a death or serious injury of a patient in their facility. Death reports must be sent to the FDA and the manufacturer, if known. Serious injury reports must be sent to the manufacturer or to the FDA if the manufacturer is not known.
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 Reports, FDA Reports, Replacement Precautions, Knee Replacement, Total Knee Replacement, Direct Anterior, Medical Devices, Direct Anterior Knee Replacement |
| Other Titles | Knee Replacement and Total Hip Replacement, MDR Reports for Hip Replacements, Total Hip Replacement 2014-2016, Adverse Events Associated with Medical Devices, Adverse Events Total Hip and Direct Anterior Replacement 2014-2018 |
Included Datasets
- Adverse Events Total Hip Replacement 2014
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 2014 through December 2014.
- Adverse Events Total Hip Replacement 2015
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 2015 through December 2015.
- Adverse Events Total Hip Replacement 2016
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2016 through December 31, 2016.
- Adverse Events Total Hip Replacement 2017
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2017 through December 31, 2017.
- Adverse Events Total Hip Replacement 2018
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2018 through December 31, 2018.
- Adverse Events Total Hip Replacement 2019
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2019 through December 31, 2019.
- Adverse Events Total Hip Replacement 2020
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2020 through December 31, 2020.
- Adverse Events Total Hip Replacement 2021
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2021 through December 31, 2021.
- Adverse Events Total Hip Replacement 2022
This dataset identifies adverse events associated with medical devices for total hip replacement. This dataset includes reports submitted from January 01, 2022 through April 29, 2022.
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.
Need Help?
- If you have questions about our products, contact us at info@johnsnowlabs.com .
About Us
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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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 |
|---|---|---|---|---|---|---|
Adverse Events Total Hip Replacement 2014 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2015 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2016 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2017 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2018 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2019 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2020 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2021 | All historical revisions | All future revisions | Not included | |||
Adverse Events Total Hip Replacement 2022 | All historical revisions | All future revisions | Not included |
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