IHE: Analysis of Optimal De-Identification Algorithms for Family Planning Data Elements

This is a use of the IHE published De-Identification Handbook against a use-case. The conclusion we came to is an important lesson, that sometimes the use-case needs can't be met with de-identification to a a level of 'public access'.  That is that the 'needs' of the 'use-case' required so much data to be left in the resulting-dataset, that the resulting-dataset could not be considered publicly accessible. This conclusion was not much of a problem in this case as the resulting-dataset...