Case study

Problem

Diabetes coaches and educators' struggle to convince their Type 2 diabetes patients (T2 PwDs) of the urgency to change their lifestyle and to motivate them to adopt and maintain healthy behaviours to delay disease progression, leading to:

  • Regular insulin injections and additional medications.
  • Additional health complications.
  • Poor quality of life.
  • Increased burden and costs on healthcare systems.

NA

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NA

Predict long-term health status and set SMART goals

Demographic and lifestyle information is combined to create a "digital twin" of the patient.

A validated physiological model is used to predict patients' long term health status and create personalized SMART health goals.

Support diabetes coaches and patient population scaling

Coaches can use the platform to streamline their workflow and leverage predictive analytics to proactively identify and engage with struggling patients.

Behavioural nudges and success optimisation

Easy to use AI powered mobile application helps patients automatically track progress, engage with coaches and achieve SMART goals.

NA

  • Sustaining healthy behaviours
  • Improved health and well being
  • Feeling supported through the process
  • Reducing the time it takes to motivate patients to adopt sustainable behaviours
  • Improves patient satisfaction of the coaching experience
  • Increases the patient to coach ratio
  • Delaying or mitigating the need for insulin therapy
  • Reducing the onset of comorbidities
  • Reducing the number of ER visits

Insulin Prediction

Boosting the reach, effectiveness and impact of diabetes coaches and educators.

Boosting the reach, effectiveness and impact of diabetes coaches and educators.

Carb Estimator

Automating the complex carb counting process for people with diabetes.

Automating the complex carb counting process for people with diabetes.

Insulini

Simplifying the setup and management experience of a complex drug delivery device.

Simplifying the setup and management experience of a complex drug delivery device.

Diabetes Decision Support

Coming soon.

Coming soon.

Personal CGM monitoring

Coming soon.

Coming soon.