Aegle Analytics is a mobile application designed to improve diabetes management for Type 2 diabetics. It interfaces with the Abbott FreeStyle Libre 2/3 sensors to collect real-time blood glucose data, analyze it, and provide actionable insights for both patients and healthcare professionals.
Aegle Analytics works by integrating with your glucose sensor to collect real-time blood glucose data. It then analyzes this data and provides insights about your glucose levels and fluctuations. The app also includes features such as anomaly detection, data visualization, and an upcoming diet suggestion tool for personalized dietary recommendations.
You can download Aegle Analytics from the App Store for iOS devices or Google Play for Android devices.
Aegle Analytics charges a monthly subscription fee of $29 from patients. There is also an option for an annual subscription at $299. The platform is free to use for healthcare professionals.
All data transmitted to and stored within Aegle Analytics is encrypted using strong encryption methods. Aegle Analytics uses Google Cloud Firebase for data storage, which is HIPAA-compliant and up to modern security standards. We do not sell your data or provide unauthorized access to it.
Yes, while Aegle Analytics is primarily designed for Type 2 diabetics, pre-diabetics can also use the platform to monitor their blood glucose levels and manage their condition more effectively.
Aegle Analytics currently supports the Abbott FreeStyle Libre 2/3 sensors.
You can reach out to Aegle Analytics' support team by emailing [support email address]. We're here to help with any questions or issues you may have.
The frequency of data collection depends on the sensor. Bluetooth connected sensors provide real-time data, while NFC sensors need to be manually connected by the user. Aegle Analytics reminds users to connect every 3-4 hours, as the sensor can only store 8 hours of data.
The context data layer in Aegle Analytics is a feature that asks the user about their recent activities, like what they've eaten or when they've exercised, around the time of a blood glucose reading. This information is then stored and can be overlaid on the blood glucose chart to help users understand how their actions affect their glucose levels.
Aegle Analytics sends a notification to the user when glucose readings are detected to be higher or lower than the set target range. This helps users take immediate action and manage their condition more effectively.
The diet suggestion tool is a planned feature that will help users make healthier food choices. When the app detects a spike in blood glucose and the user inputs what they ate, the tool will suggest lower glycemic index alternatives to avoid such spikes in the future. This feature provides highly personal diet recommendations.
Yes, users can request their data to be deleted by sending an email to our support email. All information related to the user will then be deleted from our database.
Yes, we offer a 7 day free trial.
Healthcare professionals can join Aegle Analytics by [provide steps or a link to sign up]. The platform is free to use for healthcare professionals.
Yes, the data visualization and context data provided by Aegle Analytics can assist healthcare professionals in optimizing medication type, dosage, and timing.
Aegle Analytics is currently focused on the US market, but please specify if there are plans to expand to other regions or if it's available globally.
We welcome feedback and suggestions for Aegle Analytics. You can [provide steps or a link to submit feedback].
