Smartphone apps that can diagnose pneumonia? FDA-approved machines that can diagnose conditions without a doctor? Robot psychotherapy? It’s not coming, it’s here now.

Most doctors, nurses, PAs, techs, and others in healthcare aren’t familiar with the term “disruption” and are unaware of how technological trends have already begun disrupting their current business models. This post is the first of three that will provide a basic understanding of the term, and the phenomenon.

FDA approvals of AI-enabled medical devices are accelerating—but not in the way you might expect. While new startups are entering the space, the real winners remain legacy giants like GE and Siemens. An analysis of the latest FDA data reveals a classic case of sustaining innovation, not disruption, as established players integrate AI to reinforce their dominance.

Every map you’ve seen of the coronavirus epidemic obscures the progression of the epidemic, rather than informing. Not just one map, but all of them. Let me explain how.

If you’ve been following the outbreak, you have probably noticed the predominance of mapping in data visualization about the virus. Maps are great, of course, but I suspect that the huge explosion in GPS/GIS/mapping capabilities over the last decade has given us all a “hammer in search of a nail”, applying maps even when better dataviz tools might apply.