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Description
Fitterfly is a health technology enterprise focused on metabolic wellness, utilizing innovative, customized technology and scientific principles to assist individuals in managing conditions like diabetes, obesity, heart disease, and other metabolic issues. Their offerings, including Fitterfly Diabetes Prime and Fitterfly Weight Loss, present thorough and tailored strategies that feature real-time blood glucose monitoring through a non-invasive Continuous Glucose Monitoring (CGM) device, as well as personalized plans for diet, exercise, stress management, and sleep, all complemented by dedicated health coaches. These initiatives aim to empower individuals to reach significant health milestones with results that genuinely impact their lives. Fitterfly’s methodology is anchored in rigorous behavioral therapy, emphasizing the cultivation of healthy habits through a focus on nutrition, physical activity, stress reduction, and sleep hygiene. Their digital therapeutic solutions are clinically validated, demonstrating successful outcomes such as an average decrease of 1.96 points in HbA1c levels within three months, alongside an average weight reduction of 5 kg, showcasing the effectiveness of their programs in promoting overall health. Ultimately, Fitterfly strives to transform the way people approach their metabolic health through a blend of technology and personalized care.
Description
Data schemas define the structure and content of various types of information, such as blood glucose levels, influencing how software applications manage that information. Often, systems must accommodate data from multiple devices or platforms, each presenting information in its own unique way. When all data related to a specific metric, like blood glucose, adheres to a unified schema, it becomes significantly easier to analyze and interpret that information, regardless of its original source. A standardized schema acts as a consistent point of reference for documentation, facilitating the use of data points across different contexts. In the realm of healthcare, the importance of common data schemas is magnified due to the intricate nature and significance of health-related information. For instance, recognizing the difference between fasting and non-fasting blood glucose levels is crucial for accurate clinical interpretation and decision-making. This shared understanding ensures that healthcare professionals can communicate effectively and make informed decisions based on reliable data.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fitterfly
Founded
2016
Country
India
Website
www.fitterfly.com
Vendor Details
Company Name
Open mHealth
Country
United States
Website
www.openmhealth.org