Doc

Doc is a GPT created with a focus on diabetes data structure analysis. Developed by expert data analyst Warren Bebbington, this tool provides in-depth analysis and insights into diabetes-related data.

Leveraging the power of AI, Doc can assist users in understanding their personal health data, particularly data related to blood sugar levels and insulin-to-carb ratios.

It is intended to facilitate better understanding in individuals about their diabetes conditions and assist them in managing their health more effectively.

To initiate an interaction, the user is greeted with a 'Welcome message' by Doc. Subsequently, the user can use prompt starters such as inquiring about their latest weeks blood sugar readings or asking how to improve the insulin-to-carb ratio.

These messages enable the tool to provide feedback on critical health metrics, by interpreting complex data points related to diabetes. In addition, Doc can explain the impact of physical exercise on blood sugar levels and present trends in blood sugar levels over a defined period.

It brings an innovative approach to health management by making data analysis accessible for individuals who are not data scientists.This tool is designed to work on top of ChatGPT, necessitating a ChatGPT Plus subscription for usage.

Users have to sign up and authenticate themselves before they can use this GPT. The goal is to help people with diabetes comprehend their data, subsequently enabling them to make informed health-related decisions.