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Up Next: Predictive Data for Digital Health and Beyond

Up Next: Predictive Data for Digital Health and Beyond

Wearable tech is big business beyond the Google Glass phenomenon — which possibly isn’t the best intro, as Glass seems to have vanishedovernight, or has it?

Or maybe that’s the point.

The wearable tech bubble promises to pop, pivot, and reimagine itself at a rate we’ve yet to see. This technology’s ‘big business’ potential extends wellbeyond Glass — and even beyond the ugly Apple Watch you’ve already decided to buy (I’ll be buying one too).

Although Apple hints at some pretty fantastic capabilities, like “connecting with your favorite people in some new, spontaneous ways not possible with any other device,” I’m guessing this iteration will fall short of predictive modeling — and THAT, ladies and gentlemen, is what we should all be waiting for.

As MobiHealth News reports, people who are wearing wearables — early adopters, fitness fanatics, and (you guessed it) Millennials — have a pretty specific wish list for what they want from their devices:

The top three pieces of information consumers want from wearables are health-related: 77 percent want wearables to help them exercise better, 75 percent want them to collect and track medical information, and 67 percent want wearables to help them eat better. Additionally, 81 percent of Millennials want technology to tell them about their exercise and 71 percent want to know about dietary and medical information.

The Apple Watch will miss the mark (before the mark is even defined) because wearable tech aficionados know what they want their next devices to do, even if they haven’t specifically named it yet. They want digital health devices that not only track every possible bit of useful information, but a device that will help them take preventative measures to avoid potential health risks.

Yes, that quirky way they value function over form will soon propel wearers’ ‘needs’ list beyond the basic standards wearable techies have come to expect, like exceptionally long battery life and apptastic integrations. They won’t care if it’s ugly (at first), and privacy concerns be damned, once that first developer demonstrates a digital health use case that heads off a heart attack, they’ll want to share their stats with doctors. Forget those ‘I have an allergy’ bracelets of yesterday — tomorrow promises to be quite Jestons-esque.

As I continue to watch the wearable market over the next few generations (tech generations, not people generations), here’s what I’ll be focusing on:

  1. How long will we need to wear the technology before a digital health baseline can be created to measure against?
  2. How instantaneous can we make the data? And how predictive?
  3. How long will it take rogue hackers to figure out ways to send fake stroke signals to wearers?

And what will come next? Surely predictive modeling will lend itself to other forms of analysis beyond digital health.

I’m looking forward to what will be unveiled at this year’s CES show. Wearable tech will have a big presence, along with smart cars, smart shirts, smart plants, and even smart pets.

I’d love to hear your thoughts on this too. Comments and tweets are welcome!

About mchiaviello

Currently, Associate Creative Director, Brand Experience at Hook & Loop, Infor’s creative think-tank. A creative leader and team player with over 12 years of professional experience in art direction and design in agency and corporate settings. Successfully launched 360˚ campaigns across print, digital, direct mail and TV.

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