Understanding Human Errors in Medical Device Root Cause Analysis

In the medical device industry, Root Cause Analysis (RCA) is a vital process used to identify and rectify the underlying causes of nonconformities. However, a critical aspect often overlooked is the role of human error. It’s essential to acknowledge that human errors are not merely random mistakes but are influenced by a range of underlying factors that must be understood and addressed to improve workflows and ensure device safety.

Tools and Techniques in RCA

RCA in the medical device industry employs various tools such as the 5 Whys, 8D problem-solving, fishbone diagrams, and Failure Modes and Effects Analysis (FMEA). While these tools are effective, incorporating human factors analysis can provide a more comprehensive understanding of issues. For instance, a human factors approach can help identify why standard procedures were not followed or why communication breakdowns occurred, leading to more targeted and effective solutions.

Integrating Human Factors into RCA

Although human factors are not explicitly required by medical device standards such as ISO 13485, integrating them into RCA can significantly enhance the analysis. Lessons can be drawn from the aerospace industry, where human factors have been extensively studied and incorporated into standards like AS9100. This industry has identified key human factors—often referred to as the “Dirty Dozen”—that contribute to errors. These factors include lack of communication, lack of knowledge, lack of teamwork, pressure, lack of resources, fatigue, distractions, and stress, among others.

Practical Implications of Human Errors in RCA

Human errors in RCA should not be treated as the endpoint of an investigation. When a nonconformity is attributed to human error, it’s crucial to delve deeper to identify the contributing factors, which can include systemic issues, environmental conditions, and cognitive limitations. Addressing these factors, rather than merely blaming individuals, leads to more effective actions. 

Failing to properly analyze human errors in RCA can lead to incomplete analyses, recurrent issues, wasted resources, and decreased trust in the process. For example, labeling a measurement error as a simple mistake may overlook the lack of clear standard operating procedures (SOPs) or inadequate training. By investigating these deeper causes, medical device manufacturers can implement more effective solutions that prevent recurrence through proper Corrective and Preventive Actions (CAPA).

A Model for Analyzing Human Error

Objective investigation of human error can be guided by human factors engineering and cognitive psychology models like the Skills, Rules, Knowledge (SRK) framework. Once the cognitive processes that lead to human errors are known, improvements can be made in the decision-making process using a Generic Error Modeling System (GEMS).

These models categorize errors based on cognitive processes and help in developing strategies to mitigate them. For instance, skill-based errors can be addressed by reducing distractions, while knowledge-based errors may require better training and resource allocation.

Strategies to Mitigate Human Errors in RCA

To enhance RCA processes and reduce human errors, consider the following strategies:

1. Training and Education: Regular, continuous training ensures that team members stay updated on RCA techniques and tools, fostering critical thinking and reducing biases.
2. Promote a Collaborative Culture: Encourage cross-functional collaboration and open communication to ensure diverse perspectives are considered and information is thoroughly shared.
3. Utilize Technology and Tools: Leverage RCA software and data visualization tools to manage and analyze data more effectively, minimizing the risk of overlooking key details.
4. Implement Structured Methodologies: Develop standardized RCA procedures and use checklists to ensure consistency and thoroughness in the analysis.

Conclusion

Human errors are a significant challenge in RCA. By understanding their nature and addressing the underlying factors, medical device manufacturers can enhance their RCA processes. This approach not only resolves current issues but also fosters a culture of continuous improvement, leading to long-term success and better patient outcomes. Effective RCA in the medical device industry requires moving beyond superficial attributions of “human error” and building robust systems that prevent such errors from occurring in the first place.

---

MORE FROM STARFISH MEDICAL: 5 Ways Simulation in Medical Device Design Accelerates Innovation

---

Vinky Kohli is a QA/RA Specialist in StarFish Medical. Vinky has done her Master of Engineering in Biotechnology and has experience in pharma and medical device industries in QA/RA, product development, and QMS development and maintenance. Vinky has passion for quality work including documentation.