Your Blood Sugar Sensor collects a lot of data. Most CGMs generate around 10,000 data-points/month, which can be analysed to help stabilise blood sugar in the future.
Our Diabetes Intelligence Team (DIT) will analyse your glucose data with the goal of discovering patterns, informing conclusions, and supporting decision-making for improving the stability of blood sugar levels.
What is Diabetes Intelligence:
Diabetes intelligence (DI) software that 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, wearables and sensors, as well as self-reported data. The Teams can analyse this information to gain insights into how you are 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”
How we do Diabetes Intelligence of blood sugar data
We start by:
- Collecting all the data from the blood sugar sensor and
- Create a GluLog™ with all the glucose data and enrich the data accordingly, then
- If chosen, we also start the Visual Food Diary at this point.
Then we:
- Perform comprehensive Diabetes Intelligence (DI) analysis to
- Gain insights into how you are performing and then,
- Assign current Diabetic Scores™ (or Diabetic Risk Scores™)
So we can:
- Use the insights to improve health, fitness & lifestyle decisions, and/or
- Identify problems or issues, spot trends, and find new opportunities
- Prepare a report for you to bring to the doctor for the scheduled check-ups
- 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.