Sanguine has all the features you would expect in a Glucose tracking application: data entry (blood sugars, insulin dosages, exercise, notes, etc), reports (averages, trends), importing data from all the devices that allow it. Very important features, but we’ve seen that before.
There are three key areas where Sanguine stands out from the crowd: usability, interface, and data analysis. It works better, looks better and looks deeper.
Mobile phones have helped to popularize the primary concept of interface design: it shouldn’t be the duty of the user to muddle through complex procedures and hidden options to achieve simple tasks, or even complex ones. It is the duty of the software to be designed in such a way that every operation is simple, obvious and fast.
This is of utmost importance with a diabetes management application. The goal of Sanguine is not just to convince you to download it; to be truly successful you have to want to use it every day for a long time. To achieve that, the program has to help its users actually enjoy the time they spend with it.
To do that, the interface has to be simple, and every task has to be quick to accomplish: Just a few quick clicks of an easy to find button, or a tap of the keyboard, and Sanguine fills in the picky repetitive bits itself.
Sanguine looks good doing what it does, which helps when you’re hanging out with it, but graphics go beyond simply looking pretty.
Colors and shapes mean a lot more to our brains than a series of numbers does. With that in mind, Sanguine strives to display data visually wherever possible, and not just in the ‘Reports’ section.
As you’re entering data (whether by hand or imported from a meter or pump), you will immediately see their relation to the numbers nearby. That will make it easier to see patterns, even when you’re not actively looking for them.
By overlaying the last week’s results automatically behind the current day, you can notice that trend of high blood sugars in the evening without even looking for it.
With so much information stored in its database, there’s a lot Sanguine can do beyond simple averages and totals.
Want to look into how well your basal rate is working? Why not take your pre-lunch blood sugars and compare them to your pre-supper sugars, but ignore any instances where there were less than 4 hours in between, where you had a snack or exercised or needed to correct a high sugar.
That’s a tall order with a piece of paper, but Sanguine will be able to do that and represent it graphically within in a few milliseconds. That’s just one example, and one day you’ll even be able to add your own with a ‘report wizard’ function that works a bit like a smart playlist in itunes.
Because we’re all human, Sanguine also allows you to quickly flag results if they’re suspect for some reason (affected by forgetting to bolus for a meal, or massively misestimating carb content). Then those results are ignored when running certain reports so they don’t throw off the results.
There’s another important tenet in Sanguine’s design:
In recognition of the fact that many diabetics use different treatment strategies, Sanguine will be able to integrate with pump therapy, basal+bolus, continuous glucose monitoring, or any other.
Most manufacturers of diabetic devices have some sort of software component, but they are often lacking. Sanguine will make use of an open platform that will work with as many of them as possible to allow every diabetic no matter what device they use to have the best experience.
It can work as the primary means of entering data, or fill in gaps left by another system that it links to–insuring you won’t be wasting time writing the same things down more than once.