Project GLOOK

The mobile application is designated to diabetic patients in order to track and report their activity, and it also helps patients monitoring their glucose levels through CGM device.

Exploring the feasibility and acceptance of a wearable device that monitors blood glucose in patients with diabetes and the effectiveness of real time physician feedback in modifying health behaviour.

Investigators

  • Professor Daphne Flynn
    Dr Indae Hwang
    Flavia Xie-Ku
    Tina Dihn
    Eden Potter
    Monash Art, Design and Architecture
  • Professor Christopher Gilfillan
    Dr Mina Mohammad Ebrahim
    Monash Medicine (Eastern Health Clinical School)
  • Professor Frada Burstein
    Dr Tian Goh
    Farid Raisi
    Yuxin Zhang
    Monash Information Technology

Type 2 diabetes is increasingly prevalent in society in part due to behavioural issues; with increased sedentary behaviour, reduced exercise, and consumption of foods with a high glycaemic index being major contributors.

Monash Institute of Medical Engineering seed funding enabled a collaboration between Eastern Health, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash Faculty of IT and Design Health Collab to develop the GLOOK app. Initial research was conducted with type 2 diabetics, the first step towards creating scalable preventive interventions that could be used with pre-diabetic patients.

Design Health Collab designed a mobile/web application paired with a Continuous Glucose Monitor (CGM) and a mobile application for diabetic patients. GLOOK was able to track their activity while monitoring glucose levels. The information was reviewed on a daily basis by a doctor who provided written feedback to the patients’ mobile device. Patients reported feeling supported, “he (the physician) had my back…it’s nice having someone in your corner”

Future research is planned that will target pre-diabetic patients to modify health behaviour aiming to prevent type 2 diabetes. The GLOOK solution developed will apply an AI algorithm to the analysis of a days data on activity, food intake and glycaemia and construct meaningful feedback to participants with suggestions for how health related behaviors could be improved.