Hello, quality people
An interesting problem on a risk assessment, I am curious on how you would approach it.
We offer surgical planning service to surgeons. Surgeons make their surgical proposal on the basis of patient's images (ct scans), then we have service engineers controlling their plans and eventually adapting it.
One of the risks listed in our RMC is the possibility that anatomical obstacles are incorrectly indicated in the plan by SE, resulting in false positive and/or negative.
This does not happen very often (very rarely, actually), since our Service Engineers are adequately trained. The problem is how to handle this case in the RMC.
1- We assume that the initial probability of indicating incorrect obstacles is high, "likely" (as if a non-trained person would do the exercise - this never happens in reality), and then we decrease the index in the final RMC since our Service Engineers are actually trained (3 --> 2).
2- Since our SE never work on surgical plans before being trained, we assume a low probability ("unlikely") in the initial RMC, and then we do not decrease the risk any further (2 --> 2).
I believe that option 2 reflects our reality, so I would proceed with it, but I am curious to read your opinions.
An interesting problem on a risk assessment, I am curious on how you would approach it.
We offer surgical planning service to surgeons. Surgeons make their surgical proposal on the basis of patient's images (ct scans), then we have service engineers controlling their plans and eventually adapting it.
One of the risks listed in our RMC is the possibility that anatomical obstacles are incorrectly indicated in the plan by SE, resulting in false positive and/or negative.
This does not happen very often (very rarely, actually), since our Service Engineers are adequately trained. The problem is how to handle this case in the RMC.
1- We assume that the initial probability of indicating incorrect obstacles is high, "likely" (as if a non-trained person would do the exercise - this never happens in reality), and then we decrease the index in the final RMC since our Service Engineers are actually trained (3 --> 2).
2- Since our SE never work on surgical plans before being trained, we assume a low probability ("unlikely") in the initial RMC, and then we do not decrease the risk any further (2 --> 2).
I believe that option 2 reflects our reality, so I would proceed with it, but I am curious to read your opinions.