Big Data in Healthcare for Personalization & Customization of Healthcare Services

Big Data era open generating a lot of opportunities and challenges including in healthcare services. A large amount of data is generated every second that can enhance decision making process in healthcare managements and administration. In fact, healthcare decision process is critical components for all actors in healthcare line such as patients, administration, doctors, nurse, government, and general publics to make healthcare services better, efficient, and effective. The research discusses how big data can enhance an existing mobile healthcare systems in order to support healthcare services anywhere and anytime. The research proposes the model of mobile health (mHealth) accommodating multi sources data channels in supporting mHealth services for better decision making. The study proposes a broad spectrum of mHealth with big data into dimensions of Social, Medical, Personal, and Services. Big data in Health extends a possibility adding value for healthcare service, improve healthcare decision making, and personalization of heal care service. This study is theoretically important because it explores big data approach into mobile health system to provide better mobile healthcare practices and management.