Key players in the healthcare industry have been facing issues being connected with patients all the time to improve the quality of care. Increased connectivity with the patients allows the healthcare providers to constantly monitor health conditions, send medication reminders, provide treatment support, and manage chronic diseases. mHealth arrives as a noble solution to this problem of connectivity as a mobile device is always present with an individual. Mobile phones, tablets, and wearables can be used for providing health services by tracking health information. mHealth is gaining more popularity in underserved areas with a large population and widespread mobile phone usage. Even though the use of mHealth applications is on the rise, there are some models that can drive its success and make it future proof.
Interoperability and Compatibility
There are numerous devices available today that help collect health-related information. However, these devices vary in terms of their operating platform, sensors, and communication module, which can lead to compatibility issues. If an mHealth application has to share patient and healthcare records, the application should be compatible with all such devices, sensors, and underlying platforms.
Integration of Data Analytics
The availability of a massive amount of data collected from mobile devices helps provide useful insights that lower healthcare costs and improve quality. The use of data analytics can also drive the efficiency of healthcare delivery and improve patient outcomes. For instance, specific apps can track user data using GPS technology to track physical activity for vulnerable people and send out alerts to increase their physical activity.
Companies are developing multiple mobile solutions to create innovative new tools to manage health. Open mHealth provides an open platform for these tools to integrate different health measures easily. Combining all data sources can help create a powerful feedback loop and deliver insights about a patient’s health status.
Apart from collecting data and providing remote care, socialization is also an important aspect of the mHealth platform. mHealth platforms could connect people with similar conditions and create a community to share information, offer support, and provide coaching and recommendation.