Earlier quoted context omitted.
Google will succeed at healthcare only after medical decisions can be reduced to A/B tests. That is to say, never. After wasting many millions on failures like Calico, Google hasn't learned that healthcare is a service that's continuous, custom, and complex. And since the "customer's" health and life are at stake, maintaining health is a damned sight more important and difficult to do sufficiently well than Google's…
Why do you think Calico is a failure? I think the jury is still out on that one.
This is a problem for dataminers like me within pharmas too. Most of our clinical trial data is locked up contractually within contract research organizations (CROs) who are responsible for taking specific measurements of it as part of a trial. From what I've seen, dataminers within the company can gain access to only selective bits of that data (one or two features, perhaps) from all the patients in a trial, but never to all the data on each patient, and never data from the trial that spans multiple CROs.
This 'federation' of clinical trial data collection serves the needs of the trial design (and satisfies HIPPA regs), but it makes mining the data or asking new questions of it almost impossible. Too little data is available (and never longitudinal longer-term outcomes, since trial durations are short) to allow mining of more than short-term signals, like immediate response to treatment. Pharmas are unlikely to change that practice, in part because it's easier to federate the analyses and allow the raw data to remain in distributed silos. But federation is also a good way to discourage asking creative yet inessential questions that might later prove awkward or invite lawsuits, since litigation is an omnipresent worry in US healthcare.
How companies like Calico/Google hope to navigate such minefields is a question they have yet to answer successfully.