Automated Decision Support: One Drop Can Predict Blood Glucose
By Jeff Dachis Jun 08, 2019
Diabetes rates have doubled from 1980 to 2018, rising from 5% to 10% of the global population. Of those 500M people worldwide living with diabetes today, the prevalence has specifically increased in low- and middle-income countries.
Healthcare Out of Reach
In the current healthcare climate, nearly 4 billion people lack access to medical care. In the United States alone, more than 10% of the population lives without health insurance.
Where medical intervention is available, access to treatment options is stratified by wealth and income inequality. As a result, the majority of low-income individuals have limited, if any, access to life-sustaining insulin, oral hypoglycemic agents, and other medications critical to gaining control of diabetes, including blood pressure and cholesterol medicines.
The citizens of the world are widely lacking proper diabetes care, and society is consequently bearing the financial cost. To that end, research indicates worldwide losses in GDP from 2011 to 2030, including direct and indirect costs of diabetes, will total $1.7 trillion USD.
The One Drop Solution
How can we help those in need while simultaneously relieving the massive economic burden the diabetes pandemic has created? The solution is One Drop | Automated Decision Support (ADS).
One Drop ADS uses advanced AI, machine learning, and proprietary data science techniques to efficiently deliver automated diabetes care through mobile devices. As of 2018, over half the world’s population has Internet access via mobile devices. The cost of cellphones is decreasing and access to WiFi is skyrocketing.
Therefore Automated Decision Support is an inexpensive and simple way to provide personalized diabetes care to people everywhere.
How it Works
A user enters a single blood glucose moment into One Drop | Mobile. One Drop | Automated Decision Support analyzes this moment, referencing 1.3 billion existing food, activity, medication, and glucose data points from over 1 million users.
The user automatically receives an in-app notification including a relatively precise future blood glucose report and suggestions to counteract a possible blood glucose spike or drop.
Today, One Drop is taking the first step in making Automated Decision Support available 24/7, 365 for nearly 300M people with diabetes worldwide.
Those living with type 2 diabetes, not on mealtime insulin therapy, as well as people with gestational and prediabetes, will have customized blood glucose forecasts, actionable insights, and lifestyle recommendations to support behavior modification — up to the minute, accurate health information delivered right to their phone.
All of the powerful, customized diabetes care at a tiny fraction of the traditional healthcare cost.
Try Automated Decision Support Today
One Drop | Automated Decision Support is available on One Drop | Mobile Android and iOS.
All eligible users (type 2 not on insulin, type 2 on basal insulin, gestational and prediabetes, not on CGM) are now able to use.
So, how do I receive an insight?
First, download the free One Drop | Mobile app, available for iOS and Android.
Users eligible to receive insights from One Drop | Automated Decision Support must meet the following criteria:
An Automated Decision Support insight may be randomly triggered as soon as a blood glucose, activity or food moment is logged.
Eventually, One Drop | Automated Decision Support and predictive capabilities will expand to a larger audience. Notably, anyone who administers insulin as well as those living with a broader range of diabetes types, including type 1.
The Power of Information
One Drop | Automated Decision Support combined with scientifically-backed One Drop | Experts, award-winning One Drop | Mobile, and Bluetooth-enabled One Drop | Chrome results in an undoubtedly powerful, affordable, and clinically effective platform for millions worldwide.
One Drop is ready and able to deliver better care, to more people, at a lower cost. We are not waiting. We are all in this together.
