Thank you very much, Mr. Tabbara.
I'm trying to wrap my head around this, so thanks for teaching us.
There's a category of “a danger to public health”. If someone comes forward who could be a danger to public health, their application could be delayed, in which case they would receive treatment, or it could be denied outright, presumably.
Then there is “a danger to public safety”, and again, if it could be treated, it'll be treated, or they could be rejected.
Then there is this third category of “excessive demand on health or social services”. Under that we have a couple of different interrelated definitions. One is being above the average health care cost threshold. The other one is the demand on health or social services that would add to existing wait lists and would increase the risk of mortality or morbidity.
I'm trying to see how this could be quantified. Do you have particular metrics that you use, and how do they interplay? In the data structure you use to assess applicants, are there particular fields within that data structure that go into whether or not this person is going to increase wait times or increase morbidity or increase mortality? Are there particular line items within the data structure for the applicants that go on these things together, and would it be easy for the department to assess family by family, rather than individual by individual, or maybe just exclude the children altogether?
I know it's a long-winded question, but maybe we can talk a little about how this data is presented to the department and stored.