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86    Safety Risk Management for Medical Devices


                                     Table 12.1 Example criticality matrix













                   There have been attempts to improve the RPN method. One such method is
                called ARPN, where the Severity, Occurrence, and Detectability are placed on a loga-
                rithmic scale, and thus instead of multiplying the S, O, and D, they are added
                together.
                   The BXM method suggests a modified Pareto principle in the use of RPNs. Sort
                the Failure Modes by descending RPN values. Take the top 20 6 10% of the Failure
                Modes. The reason for 6 10% is that usually there is a natural break around 20%.
                The 6 10% gives the flexibility to find and use that natural break-point. In addition
                to these top ranked Failure Modes, include any Failure Mode with a Severity ranking
                of $ 4 in the high-priority group for mitigations.
                   As stated earlier, RPN is a simple, but coarse method for prioritization of critical-
                ities. A finer method is using a criticality matrix such as Table 12.1 to customize the
                criticality rankings to suit your organization. There is no reason why the matrix
                should be two dimensional. Addition of a third factor, e.g., Detectability, would make
                the matrix three dimensional. While graphical display of a 3-D matrix on a page may
                be less convenient, computers have no problem resolving and ranking criticalities
                based on your design of the criticality matrix.


                12.4.6 Benefits of FMEA

                Although in this book FMEAs are used for the benefit of safety risk management,
                there are many other advantages and benefit to FMEAs. By its nature, FMEA is sys-
                tematic and exhaustive. It examines every element in the scope of analysis for their
                Failure Modes, and effects. This helps with the detection and elimination of product
                Failure Modes, thus improve product reliability and quality, which in turn should
                improve customer satisfaction.
                   FMEA is a predictive analytical tool. It enables early identification and handling of
                Failure Modes, thus reducing product development costs, by avoiding late-stage
                changes and corrections.
                   Another benefit of FMEAs is the discovery of missing or wrong requirements.
                Designers design devices per the System requirements. Performing an FMEA on the
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