12 datasets found
  1. Data from: MAUDE (Manufacturer and User Facility Device Experience)

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +5more
    Updated Jul 11, 2025
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    U.S. Food and Drug Administration (2025). MAUDE (Manufacturer and User Facility Device Experience) [Dataset]. https://catalog.data.gov/dataset/maude-manufacturer-and-user-facility-device-experience
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    Food and Drug Administrationhttp://www.fda.gov/
    Description

    MAUDE data represents reports of adverse events involving medical devices. The data consists of all voluntary reports since June, 1993, user facility reports since 1991, distributor reports since 1993, and manufacturer reports since August, 1996.

  2. Data from: Adverse Events in Robotic Surgery: A Retrospective Study of 14...

    • figshare.com
    txt
    Updated May 31, 2023
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    Homa Alemzadeh (2023). Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data [Dataset]. http://doi.org/10.6084/m9.figshare.3084655.v2
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Homa Alemzadeh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The adverse events reports related to robotic surgical systems and instruments, submitted to the publicly available FDA MAUDE database between January 2000 and December 2013.We extracted this data by searching the MAUDE records which are available on the FDA website at: http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/PostmarketRequirements/ReportingAdverseEvents/ucm127891.htmThe structured data generated by our natural language parsing tool, after analysis of unstructured fields in the FDA MAUDE records. The new information (fields) extracted from the data include: • Patient injury (such as burns, cuts, or damage to organs) and death events that were reported under another Event Type, such as “Malfunction” or “Other”. • Surgical specialty and type of robotic procedure during which the adverse events occurred. • Major types of device or instrument malfunctions (e.g., falling of burnt/broken pieces of instruments into patients’ bodies or electrical arcing of instruments) • Adverse events that caused an interruption in the progress of surgery, by leading the surgical team to troubleshoot technical problems (e.g., restarting the system), convert the procedure to non-robotic surgical approaches (e.g., laparoscopy or open surgery), or abort the procedure and reschedule it to a later time.

  3. f

    Related work on analysis of the FDA adverse event reports on robotic...

    • figshare.com
    xls
    Updated Jun 12, 2023
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    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer (2023). Related work on analysis of the FDA adverse event reports on robotic surgical systems. [Dataset]. http://doi.org/10.1371/journal.pone.0151470.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Related work on analysis of the FDA adverse event reports on robotic surgical systems.

  4. Major categories of malfunctions.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer (2023). Major categories of malfunctions. [Dataset]. http://doi.org/10.1371/journal.pone.0151470.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    (Note that the malfunction and surgical team action categories are not mutually exclusive, i.e., in many cases more than one malfunction or action were reported in a single event.)

  5. f

    Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA...

    • plos.figshare.com
    ai
    Updated Jun 1, 2023
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    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer (2023). Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data [Dataset]. http://doi.org/10.1371/journal.pone.0151470
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    aiAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundUse of robotic systems for minimally invasive surgery has rapidly increased during the last decade. Understanding the causes of adverse events and their impact on patients in robot-assisted surgery will help improve systems and operational practices to avoid incidents in the future.MethodsBy developing an automated natural language processing tool, we performed a comprehensive analysis of the adverse events reported to the publicly available MAUDE database (maintained by the U.S. Food and Drug Administration) from 2000 to 2013. We determined the number of events reported per procedure and per surgical specialty, the most common types of device malfunctions and their impact on patients, and the potential causes for catastrophic events such as patient injuries and deaths.ResultsDuring the study period, 144 deaths (1.4% of the 10,624 reports), 1,391 patient injuries (13.1%), and 8,061 device malfunctions (75.9%) were reported. The numbers of injury and death events per procedure have stayed relatively constant (mean = 83.4, 95% confidence interval (CI), 74.2–92.7 per 100,000 procedures) over the years. Surgical specialties for which robots are extensively used, such as gynecology and urology, had lower numbers of injuries, deaths, and conversions per procedure than more complex surgeries, such as cardiothoracic and head and neck (106.3 vs. 232.9 per 100,000 procedures, Risk Ratio = 2.2, 95% CI, 1.9–2.6). Device and instrument malfunctions, such as falling of burnt/broken pieces of instruments into the patient (14.7%), electrical arcing of instruments (10.5%), unintended operation of instruments (8.6%), system errors (5%), and video/imaging problems (2.6%), constituted a major part of the reports. Device malfunctions impacted patients in terms of injuries or procedure interruptions. In 1,104 (10.4%) of all the events, the procedure was interrupted to restart the system (3.1%), to convert the procedure to non-robotic techniques (7.3%), or to reschedule it (2.5%).ConclusionsDespite widespread adoption of robotic systems for minimally invasive surgery in the U.S., a non-negligible number of technical difficulties and complications are still being experienced during procedures. Adoption of advanced techniques in design and operation of robotic surgical systems and enhanced mechanisms for adverse event reporting may reduce these preventable incidents in the future.

  6. f

    Adverse events in different surgical specialties: Deaths, injuries,...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer (2023). Adverse events in different surgical specialties: Deaths, injuries, malfunctions, procedure conversion or rescheduling, common types of surgery. [Dataset]. http://doi.org/10.1371/journal.pone.0151470.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adverse events in different surgical specialties: Deaths, injuries, malfunctions, procedure conversion or rescheduling, common types of surgery.

  7. m

    Data for: TIMELY RECOGNITION OF TOTAL ELBOW AND RADIAL HEAD ARTHROPLASTY...

    • data.mendeley.com
    Updated Apr 26, 2021
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    Frederick Matsen III (2021). Data for: TIMELY RECOGNITION OF TOTAL ELBOW AND RADIAL HEAD ARTHROPLASTY ADVERSE EVENTS: AN ANALYSIS OF REPORTS TO THE UNITED STATES FOOD AND DRUG ADMINISTRATION [Dataset]. http://doi.org/10.17632/x52xz3tw47.1
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    Dataset updated
    Apr 26, 2021
    Authors
    Frederick Matsen III
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    This data is publically available in the FDA MAUDE database from 2012 to 2015

  8. f

    Summary of death and injury reports (2000–2012).

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer (2023). Summary of death and injury reports (2000–2012). [Dataset]. http://doi.org/10.1371/journal.pone.0151470.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Homa Alemzadeh; Jaishankar Raman; Nancy Leveson; Zbigniew Kalbarczyk; Ravishankar K. Iyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary of death and injury reports (2000–2012).

  9. f

    Table1_Safety reporting of Essure medical device: a qualitative and...

    • figshare.com
    docx
    Updated Jul 13, 2023
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    Chenyu Zou; Brandy Davis; Patricia R. Wigle; Ana L. Hincapie; Jeff Jianfei Guo (2023). Table1_Safety reporting of Essure medical device: a qualitative and quantitative assessment on the FDA manufacturer and user facility device experience database in 2018.docx [Dataset]. http://doi.org/10.3389/frph.2023.1172927.s001
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    docxAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Chenyu Zou; Brandy Davis; Patricia R. Wigle; Ana L. Hincapie; Jeff Jianfei Guo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThere have been numerous cases of adverse events since the introduction of Essure medical devices for sterilization in 2002. This study analyzed the safety event reports of the Essure reported in the Manufacturer and User Facility Device Experience (MAUDE).MethodsA retrospective analysis examined the MAUDE reports between Jan-1, 2018, and Oct-31, 2018 and focused on safety reports related to the Essure device. Safety reports were categorized and analyzed by their event type, device problem, patients’ symptoms and the level of harm. Of this study cohort, 10% of samples were randomly selected for quantitative analyses. Thematic analysis was conducted for reports included death cases.ResultsA total of 4,994 eligible reports were analyzed. There were ten reports associated with individuals’ deaths, and the main themes of safety reports from qualitative analysis were pains, bleeding, surgery, migraine, and infection. Quantitative analysis of 500 randomly selected samples showed that 98% of adverse event reports were associated with different injuries such as surgery, pain, bleeding, hysterectomy, and menorrhagia. Additionally, more than 90% of reports were submitted by the manufacturer.ConclusionThese findings indicated several safety issues of Essure. More meaningful pre- and post-marketing surveillance and regulation are warranted in the medical device market to ensure safety and effectiveness, including investigating complaints, promptly sharing relevant information with regulators and users, and implementing corrective actions

  10. 47 cases with probable MHRA

    • figshare.com
    pdf
    Updated Dec 6, 2019
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    Daniel James Kiely (2019). 47 cases with probable MHRA [Dataset]. http://doi.org/10.6084/m9.figshare.9730172.v1
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    pdfAvailable download formats
    Dataset updated
    Dec 6, 2019
    Dataset provided by
    figshare
    Authors
    Daniel James Kiely
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    47 cases from US FDA MAUDE database involving death, cardiotocography, and probable maternal heart rate artefact.

  11. f

    29 cases with recommendations relating to MHRA

    • figshare.com
    pdf
    Updated Sep 1, 2019
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    Daniel James Kiely (2019). 29 cases with recommendations relating to MHRA [Dataset]. http://doi.org/10.6084/m9.figshare.9730175.v1
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    pdfAvailable download formats
    Dataset updated
    Sep 1, 2019
    Dataset provided by
    figshare
    Authors
    Daniel James Kiely
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    29 cases from US FDA MAUDE database involving event type death, cardiotocography, and recommendations from manufacturers regarding maternal heart rate artefact.

  12. f

    Full list of 117 cases of CTG-associated fetal or neonatal deaths

    • figshare.com
    pdf
    Updated Dec 6, 2019
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    Daniel James Kiely (2019). Full list of 117 cases of CTG-associated fetal or neonatal deaths [Dataset]. http://doi.org/10.6084/m9.figshare.9730169.v1
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    pdfAvailable download formats
    Dataset updated
    Dec 6, 2019
    Dataset provided by
    figshare
    Authors
    Daniel James Kiely
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    117 cases from US FDA MAUDE database involving cardiotocography devices and event type death.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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U.S. Food and Drug Administration (2025). MAUDE (Manufacturer and User Facility Device Experience) [Dataset]. https://catalog.data.gov/dataset/maude-manufacturer-and-user-facility-device-experience
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Data from: MAUDE (Manufacturer and User Facility Device Experience)

Related Article
Explore at:
Dataset updated
Jul 11, 2025
Dataset provided by
Food and Drug Administrationhttp://www.fda.gov/
Description

MAUDE data represents reports of adverse events involving medical devices. The data consists of all voluntary reports since June, 1993, user facility reports since 1991, distributor reports since 1993, and manufacturer reports since August, 1996.

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