Quantifying Myself

I’m only a couple of days into my FitBit experience and I’m already torn. I’m experiencing some technical issues with the FitBit Flex that are beyond the help of the user guide and the FitBit forum community. I’m currently in a back-and-forth with customer service that will likely end with me RMA-ing this unit for a new one. I’m not sure what went wrong, but I haven’t been using this thing long enough to be the primary culprit for whatever is going on here.

That said, I think there’s a tremendous potential with FitBit, when combined with the rest of my data gathering – both active and passive.

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About Glooko

Rick Altinger, CEO of Glooko is on the podcast this week. Our conversation covers Rick’s time at Stanford, the significance of working in Silicon Valley, and why some of his earlier jobs set the stage for his current role at Glooko. We also discuss the importance of data liberation, literacy, and analysis with respect to people living with diabetes. Finally, Rick explains why it’s important for someone in his position to listen to patients, and why he makes it a priority to take customer support calls on a regular basis. Enjoy.

Be sure to visit glooko.com to learn more about Glooko’s system..

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Data-Induced Burnout

The topic of data was heavily featured in an upcoming episode of my podcast, Just Talking. We discussed the importance of data liberation, literacy, and eventual analysis of that data from both the patient and provider perspective. Things like Glooko are great because it eases the barrier to entry to that type of data aggregation and access. The idea is that if we have the tools to make meaningful changes to our diabetes management more readily available, then we are that much more likely to try and make those changes.

Of course you have to be in the right frame of mind to tackle a month’s worth of blood glucose data, but I think simply knowing that your data is waiting for you is an important first step.

But there’s got to be a downside to all of this stuff, right? What happens when we dig too deep into all of these numbers? What happens when the possibility of getting lost in the data becomes a reality?

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Some Thoughts on the iBGStar

As of this post I’ve gone through 46 out of the opening 50 test strips that came with my iBGStar. One of the blood glucose tests was a test to make sure the meter was functioning properly and an additional test returned an error because I didn’t supply enough blood. I’m keeping score because I want this “review”, or perhaps more accurately this “loose organization of thoughts”, to be framed with the proper context. I feel that I’ve put this meter (and iOS Software) through enough to offer an informed opinion on what I like and don’t like about the experience.

I’d been using a FreeStyle Flash/Lite combination for the better part of 5 years. Especially after updating to the “butterfly” test strips, the combination of ease, and port and display lights on the meter made it an ideal companion in my diabetes journey. I know most of the meters these days, with the exception of the OmniPod PDM, are small and convenient, but that meter did everything I asked and didn’t try to complicate things with bells, whistles, buttons, or gimmicks. Test strip, Light (if necessary), Blood, Number, Carry On. Now I’m stepping into a new arena: new meter, new test strips, new new. I was excited to see what the hype was all about, even if that meant leaving my beloved port light behind.

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