
Using lifestyle recommendation algorithms to help patient track changes in their daily activities such as sleep, glucose, diet and weather. For example, Diabetic Type 1 patients have a medical condition that require life long dependence on insulin with daily or continuous glucose monitoring. Type 1 diabetic patients commonly depend on controlling their glucose levels, monitor their dietary intake and depend on ancillary services like nutritionist, diabetic counselors, endocrinologists and primary physician services to maintain a healthy lifestyle. To support diabetic patients with visualization of personalized data set - that is an integral to their day - to - day activities/diet/insulin treatments to monitor their physiological health state, diet tracking and lifestyle measurement such as social activities, sleep, weather or mood.
pitch: https://drive.google.com/file/d/1Oots7O2GxskDV1W8nRPZCd926ouURGtd/view?usp=sharing
dataMosaic
DayOne Health Hack Basel, Switzerland. Final Sprint 6. November - 8. November 2020 #dayonebasel
- Health Hack challenge: Merlin Mosaic
- Health Hack project: DataMosaic ##### Participants (please check the project link for an update): Aletta Alex_Kononov Peter Hummel akshata_shet manuel kamalakannan_sudhakar prabitha_urwyler maxim_popov victor_e ##### Slack - Communication during the Hack Join our Slack channel here
Summary
Visualisation of data integrated from physiological, diet and lifestyle measurements to help Type 1 Diabetes patients understand and manage thier day-to-day activities, diet and insulin dosage.
The Challenge
Patient champion interaction
Stakeholders
Technologies
- R
- Data Visualization
- Mobile Device
Inspiration
Project inspired by DAYONE HealthHack based on the inputs from Patient Champions
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-- victor_e
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