Health technologies are reshaping the future of medical practices worldwide. With the cumulative use of medical software platforms, healthcare apps, and wellness wearables, big data becomes essential in research and practice. Hence, to support data management and decision-making, digital health solutions with integrated big data analytics modules are essential tools.
Since analytics techniques can provide insights into patient behaviors and healthcare choices, health analytics is becoming a moving force in healthcare. Application (app) analytics, in particular, are transforming the future of medicine at a rapid pace. Note that the number of mHealth apps is rising, with more than 325,000 health apps being available online. According to data, in the US alone, the mHealth apps market will reach $111.8 billion by 2025.
Due to a large number of mHealth apps, mHealth app analytics are growing in popularity. mHealth app analytics are employed to support the analysis and visualization of metadata collected from various apps and across diverse populations (O’Reilly-Shah, Easton, & Gillespie, 2017). Interestingly, app analytics can be integrated into apps in order to support the release of medical information (ROMI). Analytics tools can provide insights into app usage, location, and patterns. mHealth app analytics can also help users, healthcare professionals, and IT specialists exchange meaningful data to improve healthcare practices across the globe.