Description
The Blood Sugar Sensor of diabetic clients 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 the glucose data with the goal of discovering patterns, informing conclusions, and supporting decision-making for improving the stability of blood sugar levels.
We can provide Health Professionals with a tailored service to fit into their product portfolio.
We offer the following options:
- Referral: The client is referred directly to us, we treat the customer as a Sijji customer and the customer enjoys a preferred rate and/or the business obtains a referral bonus.
- Service provider: The client interacts with your business and we provide the service directly for your business. This was you keep control of the entire customer experience.
- White-label: We set up a special unit who interacts with the customer on behalf of your business.
Contact us for more info and details – or message us directly on WhatsApp and ask for “Diabetes Intelligence – for Health Pros”
Which are the Diabetes Intelligence (DI) services:
- Personalised Health Plan including goals and milestones (3, 6, 12 and 24 months) as seen in the description above
- Historic DI of blood sugar data (3, 6, 9, 12 and 24 months) (a one-time analysis of historic data)
- Current DI of blood sugar data (2 or 4 weeks) with or without Visual Food Diary (a one-time analysis of current data)
- Gestational Diabetes
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 member-reported data. The Teams can analyse this information to gain insights into how the member 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 members 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 the Member’s blood sugar levels spiking every Tuesday and Friday afternoon, but not on Wednesday? Why is the Member 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 the Members’ 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 members’ behaviour, preferences and trends in their health, and use the insights to better target solutions, services and recommendations to the members whose 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 subjective feedback from the member.