The problem with that approach is that it's not sustainable. It might work if you limit yourself to health data, but then you're losing a lot of possibilities, and if you try to expand, you won't be able to add every single API out there and write intelligent algorithms for every possible view of the data.
We need to standardize on common formats so that anyone can publish in them (either original data or a bridge from a custom API) and anyone can write code to do analyze and augment it.
Some fields - particularly in the "sciences" - are already linking massive datasets between them, allowing new applications that they had never even considered, but here in the common "web app" world we're still stuck in the world of non-standard APIs with custom and non-extensible JSON formats.
We need to standardize on common formats so that anyone can publish in them (either original data or a bridge from a custom API) and anyone can write code to do analyze and augment it.
Some fields - particularly in the "sciences" - are already linking massive datasets between them, allowing new applications that they had never even considered, but here in the common "web app" world we're still stuck in the world of non-standard APIs with custom and non-extensible JSON formats.