I think you could think of two main categories of data (they somewhat reflect what you mean by "measuring health" and "helping with decision making".
I would think about "disease rate/incidence" (probably there's a better name for that), and "performance indicators" that would measure the service side of things.
In that way, you can clearly separate statistics on the national health (what you mention in point A) and everything else that has to do with the way people have access to health services (related to point B, but I agree with @dirdigeng that probably taking your smartphone after you've been hit by a car is ambitious and maybe a bad idea ) . So, on one hand you have actual "health" data and on the other hand performance data from providers.
On which datasets should be included on each category I have mixed feelings. Diseases are somewhat listed by organizations such as WHO and we could take that, but then, ¿could you blame a country that hasn't had a case of Malaria in 20 years for not publishing a dataset on that disease?
Performance indicators are even harder. Once again, there a few that seem obvious and universal (eg. mortality) but just through our experience (DATA Uruguay) on launching ATuServicio.uy in Mexico with Codeando MX, we've realized there are HUGE differences in the way health systems work and we're having a tough time trying to have a unique data standard.