Connected health has enormous capacity as a tool to promote behavior change (in my opinion better than any other toolset we have). However when poorly implemented, it fails like any other poorly implemented strategy. In 18 years, have I learned all there is to know about connected health implementation? Surely not or I’d retire and find something else to do. I gain new insights every day. However, I do see a set of reproducible outcomes when programs have certain design characteristics, so I thought I’d write about them for a few posts. Rather than make this a textbook-like rendition, I am going to use particular examples from the marketplace that illustrate these principles done well.
Chances are, even if you follow the connected health industry, you have not heard of a firm called Fitlinxx. This is a small Massachusetts based firm and they’ve always been a bit ahead of the marketplace when it comes to activity monitoring. Their technology illustrates two guiding principles:
Wear and Forget Sensors and
Automatic Data Upload
(Both of these guiding principles are subservient to the importance of objective data collection and the need to avoid data self-entry when possible.)