20240079130.USER INTERFACES FOR HEALTH TRACKING simplified abstract (apple inc.)
Contents
- 1 USER INTERFACES FOR HEALTH TRACKING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 USER INTERFACES FOR HEALTH TRACKING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
USER INTERFACES FOR HEALTH TRACKING
Organization Name
Inventor(s)
Lindsey Maratta of Sunnyvale CA (US)
Roxanne B. Brittain of San Francisco CA (US)
Nicholas D. Felton of Sunnyvale CA (US)
Karen L. Jenkins of Mountain View CA (US)
Michael Pangburn of San Jose CA (US)
USER INTERFACES FOR HEALTH TRACKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240079130 titled 'USER INTERFACES FOR HEALTH TRACKING
Simplified Explanation
The patent application relates to tracking health information and generating predictions and notifications based on that data.
- Health information tracking system
- Predictions and notifications based on tracked data
Potential Applications
This technology could be applied in various fields such as healthcare, fitness tracking, and personalized medicine.
Problems Solved
This technology helps in monitoring health metrics effectively and providing timely notifications for any potential health issues.
Benefits
The system provides users with valuable insights into their health status and helps in proactive health management.
Potential Commercial Applications
Potential commercial applications include health and fitness apps, wearable devices, and healthcare services.
Possible Prior Art
One possible prior art could be existing health tracking apps and devices that provide similar functionalities.
Unanswered Questions
How does the system ensure data privacy and security?
The article does not address the specific measures taken to protect the health information collected by the system.
What is the accuracy of the predictions generated by the system?
The article does not mention the accuracy rate of the predictions made by the system based on the tracked health information.
Original Abstract Submitted
the present disclosure generally relates to tracking health information and generating related predictions and/or notifications.
