'Fjord Fido' Combines Information from All Patients to Form a Database
Cadhla Gray — October 13, 2015 — Tech
Jonas Hoglund, designer of Fjord Fido and the Living Service project, combined the diabetes data collection capabilities of wearables and apps to create a more thorough database for patients. While apps exist to track when and how much insulin patients are supposed to take, they don't take the many other important variables into account.
For instance, Jonas' son has diabetes and on days that he is more active, he does not need as much insulin. Therefore, a calendar-like component in the database can predict this using past information.
The Living Service's concept tracks what people are eating, how they're sleeping and other factors that play a role in the treatment of diabetes on a day-to-day basis. The diabetes data platform is meant to be used as an aggregation collector as well -- finding patterns in information between all the users inputting their experiences.
For instance, Jonas' son has diabetes and on days that he is more active, he does not need as much insulin. Therefore, a calendar-like component in the database can predict this using past information.
The Living Service's concept tracks what people are eating, how they're sleeping and other factors that play a role in the treatment of diabetes on a day-to-day basis. The diabetes data platform is meant to be used as an aggregation collector as well -- finding patterns in information between all the users inputting their experiences.
Trend Themes
1. Diabetes Data Tracking - Using wearables and apps to track diabetes data can lead to more accurate treatment and prediction.
2. Comprehensive Database - Creating a database that combines various variables like activity level, diet, and sleep can provide a more holistic view of diabetes treatment.
3. Data Aggregation and Analysis - Leveraging data from multiple users to identify patterns and improve diabetes management.
Industry Implications
1. Healthcare Technology - Developing innovative wearables and apps for diabetes management can revolutionize healthcare technology.
2. Data Analytics - Using advanced analytics to analyze diabetes data can reveal valuable insights for personalized treatment approaches.
3. Nutrition and Wellness - Integrating diet and lifestyle data can open opportunities for personalized dietary guidance and wellness programs in the diabetes industry.
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