Gestational Diabetes – 14 days constant screening

We believe that a 14-day test with 1,000+ blood sugar readings is a better indicator of the risk of diabetes than a single blood test.

We have developed the 1000Test™ which is a 14-day (24h) Diabetes Risk Test which measures the level of blood sugar every 5-15 mins giving 1,000+ readings to analyse and thereby reduces the risk of a single bad reading and other singular events.

We believe that a 14-day test with 1,000+ blood sugar readings is a better indicator of the risk of diabetes than a single blood test.
The result of the test is a Diabetes Risk Score from 0-100 and it important to underline that this test does not diagnose diabetes but gives an indication of the calculated risk of diabetes.

If there is a risk of GD and you choose to join our GD Care Program, our Diabetes Intelligence Team (DIT) will analyse your blood sugar data with the goal of discovering patterns, informing conclusions, and supporting decision-making for improving the stability of blood sugar levels.

Detailed Description

What is Diabetes Intelligence: Diabetes intelligence (DI) ingests health data and presents it in user-friendly views such as reports, dashboards, charts and graphs. DI tools enable our Health Teams to access different types of data: historical and current blood sugar, wearables gives us sleep and heart rate, as well as self-reported data. The Teams can analyse this information to gain insights into how your body is performing. DI offers a way for our Teams to examine data to understand trends and derive insights and use the insights to improve health, fitness & lifestyle decisions, identify problems or issues, spot trends, and find new opportunities. The Teams will then compile this knowledge into actionable insights, such as: “What to do” or “What could happen if you take (or don’t take) a certain action” Why Diabetes Intelligence is important: Diabetes Intelligence gives our Teams the ability to ask questions and get answers. Instead of using best guesses, they can base decisions on what the data is telling them — whether it relates to nutrition, blood sugar, emotional fitness, heart rate, sleep or fitness. Why is your blood sugar levels spiking every Tuesday and Friday afternoon, but not on Wednesday? Why are you sleeping badly every Monday night? How can we increase the fitness level without increasing time spent on activities? Diabetes intelligence provides past and current insights and helps predict the future. This is achieved through an array of technologies and practices, from analytics and reporting to data mining and predictive analytics. By providing an accurate picture of your health & fitness at a specific point in time, DI provides our Teams with the means to design a health & fitness strategy based on factual data. Di allows for our Teams to: Uncover the your behaviour, preferences and trends in their health, and use the insights to better target solutions, services and recommendations to you as your health and lifestyle might vary. Monitor the effects and responses of recommendations and plans. Fix or make improvements on an ongoing basis, fuelled by data insights. Most importantly of all, Diabetes Intelligence relies on data insights and not your (potentially) subjective feedback.