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Supported by the proliferation of smartphones and tablets, consumers and medical providers are snapping up medical technology via mobile apps and mobile sensors at an unprecedented rate. In the process, these early adopters are drawing tremendous attention to the mHealth space. This explosion of products and interest has brought the space to an inflection point: the emergence of mHealth 2.0. At this next stage, mHealth aims not just to provide information but to create meaningful behavior change in both patients and their medical providers. While the underlying idea is simple and the technology astonishing, it has been a challenge to deliver. I will argue that, going forward, the focus of players in the mHealth space must be on closing specific patient behavioral loops, building bridges between non-interoperable data systems, and permitting doctors to provide better care through deeper clinical insights—and all of this must happen without drowning doctors in a deluge of raw data. So how do we get there? The future lies in the aggregation of data from multiple sensors, analyzed and re-expressed as actionable insights for behavioral change. The winners will be those who can produce the most useful sensors (embedded in the most attractive and easy-to-use form factors) and marry them to cloud systems and intelligent algorithms that enable effortless analysis and sharing of insights that inspire action.