See ISO 14971 Section D.7.4 Fault tree analysis: Harm to a patient or user can originate from different hazardous situations (see Annex E). In such cases, the probability of the harm used to determine the overall residual risk is based on a combination of the individual probabilities. A fault tree analysis can be a suitable method for deriving the combined probability of harm.
D 7.4 (which is informative) deals with Overall residual risk evaluation. Unfortunately, it's not a very good discussion, and ISO TR 24971 tried to give a better discussion and also failed. Hopefully, we can do a better job in the revision.
The overall residual risk evaluation requirement came from the understanding that, although we usually treat individual risks of harm to patient/user/etc, the real risk is an aggregate of the individual risks. However, none of the "techniques" identified in D 7.4 is good to do this.
For example, the fault tree analysis mentioned. FTAs (some good tutorials are here:
http://www.barringer1.com/mil_files/NASA-FTA-1.1.pdf and
http://www.cems.uwe.ac.uk/~a2-lenz/n-gunton/worksheets/FTA-Tutorial.pdf are good for estimating probability of harm, including combined probability for the same hazardous situation. It does not deal with aggregate risk.
For analyzing the aggregate risk related to individual risks with a focus on quantitative probabilities, you would need to use a risk summing technique (and example is in this link:
http://www.isss-tvc.org/Summing_Risk_Slides.pdf. The questions is if this (which is clearly a tough job to be done, in particular because it does require that you use QRA techniques instead of only estimating the risk in a qualitative manner) is worth the effort.
The real requirement to estimate probabilities is in 4.4. However, the standard also mentioned the probability can be estimated either quantitatively or qualitatively. Unfortunately, most implementations seem to think that, as the standard "permits" I can simply estimate probability qualitatively (the rationale is that it might be difficult to estimate probabilities for some hazardous situations before putting the device into the market, and only post-market data gan give that). This in fact is not in consonance with good risk management practices - imagine if manufacturer of planes waited for planes to be in the market before estimating risk

).