Healthcare is very often geographical in nature; and in particular, it's local.  As showcased in the SANER IG, reporting in the public health domain often benefits from geographical analysis, as causal relations are often geographic in nature.  Epidemiologic spread of disease is proximity based; climate refugees follow the paths of storms or wild fires; hospitals report increased numbers of some conditions (i.e. heatstroke) based on seasonality and location.   Tabular, spreadsheet, grid, and other matrix analysis approaches very often fail to include important causal relations that are encoded in geographic locations or boundaries.  To this extent, MeasureReport that include multiple locations would benefit from being location aware, and supporting some form of geotagging.  Important approaches include ZIP (postal routes), FIP (county taxation), HSA (ambulance dispatch zones, approximately), and GPS (point location).  In some instances, _geography parameters for outlining the boundary of a location in GEOJSON format are also useful.