By integrating the Apple HealthKit framework in a health and fitness mobile app, different features can be added. The Apple HealthKit framework can collect, store, analyze, and visualize health and fitness data. Apple HealthKit uses user's permission to store such data on different devices such as iPhone and Apple Watch.
The architecture and design of the Apple HealthKit framework enable meaningful social interactions across devices. To truly work across devices securely, the Apple HealthKit can easily be used in a multithreaded environment and the user-generated data is kept locally in encrypted form when the device is locked.
Google embraces an open ecosystem with its Google Fit SDK. It enable partners and developers to create human-centered mobile apps. By leveraging the SDK, mobile apps can store data from most wearable devices as well as sensors. Google Fit SDK can be leveraged by major platforms such as iOS as well as web apps.
Google Fit comes with different APIs. Some applications of APIs include reading data from sensors, recording fitness sports activities like running or bike riding, managing fitness data, monitoring time intervals of fitness sessions, track goals, connect using low energy Bluetooth, leverage custom data types, and more.
Using Apple HealthKit and Google Fit, one can add many features in the health and fitness mobile app. For example, a patient can keep track of blood pressure, sugar level, allergies, and more. Using such mobile apps, women can keep track of parameters like menstrual flow, ovulation, and more.
More features can be added to a mobile app using APIs. Few such APIs include FatSecret Platform API, Can I Eat it? and more. These APIs add value in the mobile app and enables the user to fetch nutritional information by scanning the barcode using the back camera of the smartphone, monitor nutritional intake, and more.