Failure Management and Analysis of Medical Devices

Abstract

Medical device failure management is essential for upholding patient safety and healthcare quality standards. However, existing approaches to analyzing and classifying recalls often lack precision, obstructing the identification of root causes and the implementation of effective mitigation strategies. This study proposes a flowchart to enhance the analysis and classification of medical device recalls, with a specific emphasis on addressing software-related failures. The primary aim is to gather extensive data from the Food and Drug Administration's recall database, encompassing various attributes such as device specifications, recall reasons, severity levels, and manufacturer details. By combining manual review processes with advanced classification techniques, the project aims to develop a vigorous and scalable approach to recall classification. The accuracy and reliability of these techniques will undergo rigorous evaluation, contributing to advancements in recall management practices and regulatory oversight. Through this combined approach, the flowchart ensures that the device undergoes thorough evaluation and risk mitigation measures, thereby minimizing potential risks to patient safety and regulatory compliance. Outcomes include the establishment of an accurate integrated flowchart that enhances the understanding of device safety, facilitates proactive risk mitigation strategies, and improves regulatory compliance. Additionally, study findings will inform the development of engineering standards, quality control processes, and ethical guidelines within the medical device industry, ultimately leading to improved patient safety, environmental sustainability, and economic benefits.

Keywords

• Classification
• Recall
• Software failure
• Medical devices

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