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• CS
• Diabetic Patients Monitoring

Abstract:

Title: Care portal for managing patients with Diabetes. using a micro services architecture.  Getting real-time-data using a prediction engine to prevent diabetes threshold.  

Value proposition: Diabetes is a chronic disorder, heavily impacted by patient’s day-to-day behaviors. Meal, activity and other daily activity play an important role in glucose control and progression of the disease. Current management strategy is commonly driven through periodic (3-4 per year) visits to physician usually lasting 15-20 mins long. These care protocols are usually insufficient to uncover problematic patient behaviors and improve day to day patient behavior. Digital innovations and remote monitoring techniques can provide new ways of managing patients effectively through better patient engagement, in-the-moment feedback and sustained behavior improvement. The goal for the project is to create an care portal for remote management of patients with diabetes.

Goals: Develop care portal based on micro services architecture with following features

• Web application to remotely monitor and manage patients
• Patient facing engagement app / client / chatbot
• API connections to connect to nutrition and activity databases
• Backend services to create and deliver data driven insights using glucose, nutrition and activity data
• Deliver personalized therapy plan emails periodically for patient and physician review

Skills needed across the team:

• Web & app development frameworks
• Knowledge of microservices based architecture
• Knowledge of chatbot development
• Interest and ability to learn new digital technologies
• Utilizing and creating RESTful APIs
• Languages / tools: Python, JavaScript, HTML, Bootstrap, Flask, NoSQL, Apache Kafka, Apache Storm Tensorflow/ScikitLearn

Skills students would develop:

• Understanding of diabetes and care management strategies
• Understanding of digital patient engagement strategies
• Understanding of DevOps and QMS framework for developing health care applications
• Microservices architecture
• Development of chatbot applications
• NLP model training
• Design thinking
   

Roles:

• Student Leader: Yosep Kim
• Documentation: Koenrad Macbride
• Architecture: Christopher Fong
• Data Science: Wun Woo
• Front End Web and Database: Andrew Padilla