Program Information
Leveraging the Social Networking Concept for Failure Mode and Effects Analysis
M Bakhtiari1*, M Ganjavi2 , (1) RadAmerica, LLC--MedStar Health, Baltimore,, MD, (2) Morgan State University, Baltimore, MD
Presentations
SU-I-GPD-P-9 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose: Failure Mode and Effect Analysis (FMEA) is a popular method for quality improvement utilizing process maps and clinical workflows. With FMEA the flaws in high-risk processes are proactively identified and analyzed. FMEA is a cross-functional team activity. Therefore, FMEA is time consuming and resource intensive. We have employed the social networking concept to perform FMEA in a more efficient manner.
Methods: A responsive database-driven website was developed with a user-friendly interface. The process map is designed in text mode. The web-application processes the text and generates a graphical process map. The process map can have different steps. Each step can include different checklists. Each task in the checklist can be commented on by the users. In addition the users are able to propose failure modes or incidents on each task in the checklist. Each failure mode or incident can be commented on or scored by different users, and a risk priority number is automatically calculated and sorted. Causes can be provided by users on any failure mode or incident. The team leader is able to connect the causes in a user-friendly interface and a fault tree or cause map is automatically created by the application. All the changes and actions taken by the process map owner are tracked and recorded. A comprehensive risk assessment can be performed using the statistical tools provided in this free application.
Results: The free web-application was successfully employed to investigate different clinical processes. According to a survey, being able to use the application from anywhere, at any anytime, and on any mobile device is the greatest feature of the application.
Conclusion: It was found that a web-based application designed based on a social networking concept can be successfully employed to perform FMEA and quality improvement tasks in a clinical setting.
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