diaBEAT

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  GP's patient dashboard

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  Mobile data summary (patient dashboard)

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  Medication reminder and recording

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  Food entry (takes photos of food)

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  Patient view of management plan

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  Exercise reminder

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  Edit user profile

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  Tracker main menu

diaBEAT

Diabetes: Better through Eating, Activity and Treatment

Inspiration

For many patients with newly diagnosed type 2 diabetes, the barrage of tasks they need to do as part of the management of their diagnosis may be confronting. We set out to make life a little bit easier for these people, whilst providing a platform for clinicians to monitor progress against treatment.

What it does

The platform uses a user-friendly mobile and web application design that can assist patients with type 2 diabetes and their clinicians to manage the condition.

The mobile application is designed to register information input by the patients allowing for doctor to track and monitor their treatment. This information includes their regular blood sugar levels, medication and exercise reminders and recording, and the capacity to take photographs as part of a visual food diary. Oftentimes, patients may forget to bring the data that they recorded to consultations, so having this data in the cloud is helpful. The application also provides relevant patient education within the mobile application at the relevant times (e.g., links to medication information when reminded to take them).

The web interface is primarily designed for GPs to be able to have a high level dashboard view of the patient's self-recorded data, care plan and medications. This snapshot is a simple summary of compliance and progress which can then be drilled down as needed.

How I built it

We have developed a prototype with initial UX design.

It is intended that this solution will be built for mobile applications (Android, iPhone and WP) using a Xamarin layer for cross-platform development. The web interface will be developed using PHP using Highcharts.js as the charting platform. However, this may change as in-depth feature analysis of the available technology is performed.

What's next for diaBEAT

Phase 2 of the solution is to build a feature that allows other clinicians to be connected to a particular patient's case and be able to view their data. They will also be able to add brief notes to the case. Initially we will have diabetes nurse educators and dietitians but there is a view for future addition of other key allied health and medical professionals such as podiatry, ophthalmology, psychology etc.

We will then investigate integrating this application with other health-related applications and IoT devices (e.g., Fitbit, Calorie King, Strava, MyFitnessPal etc).

Long term, we envisage the collected data being useful for generating predictive models if enriched with external data (e.g., admissions, acute illness, demographics, SES / ABS data, computer vision [re: food]) as well as being suitable data for performing retrospective research studies.

Built With

• android
• ios
• sql
• web