How a geek dad is helping his daughter manage her diabetes paid Oracle
She had a variety of persistent symptoms—exhaustion, blurred vision, excessive thirst—that couldn’t be attributed to the summer heat. When Oracle Cloud engineer Todd Sharp took his active 13-year-old daughter to the hospital a month ago to find out what was wrong, the diagnosis wasn’t good: She has Type 1 diabetes, which means a lifetime of injecting insulin lies ahead of her.
A variety of companies, including Medtronic, Abbot Laboratories, DexCom, and Insulet, already make continuous glucose monitors, insulin pumps, and related diabetes-management devices in a market that’s growing rapidly. But Sharp, the always-curious software developer, wasn’t satisfied with that status quo.
Using the Insulin Helper app on a smartphone or laptop, his daughter first inputs her unique formula for regular insulin dosages throughout the day. When it’s time to eat, she uses the app to snap a photo of her food and weigh it. After its image-recognition services identify the food, the app retrieves USDA nutritional data and calculates the grams to be consumed via a wireless food scale. Then his daughter submits her current blood-sugar level via a standalone glucose monitor.
The app links a variety of popular developer tools with powerful cloud services and open data. For example, Sharp used the Node.js Javascript framework to write the glucose formula calculator, along with an assortment of services such as Simple Oracle Data Access , Oracle REST Data Services , Micronaut Data and Helidon , Oracle Functions , and the Oracle Autonomous Database .
“The interesting part of this multimodel approach is you can get your data in and out of Oracle Autonomous Database within any format you need—relational, JSON, XML, graph,” Sharp says. “What you can do with all of this data in three different schemas is combine them, query them, do reports on the data, train machine learning on it—but you’re still in Oracle Database.
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