IoT-based big data analytics issues in healthcare

Abstract

Internet of Things devices constantly generate big data which when analyzed reveals hidden patterns, information and trends, thus, enabling decision making. Several organization today utilized data analytics to improve organizational performance and deliver high quality of service and experience. Healthcare is not an exception and uses data analytics for some of its capabilities such as detecting diseases and diagnose patients at early stages, identifying high-risk patients and providing them treatment to reduce unnecessary hospitalization or readmission. However, the existing and expected increase of connected devices poses several challenges for data analysis, especially with little work being done to address them. Therefore, this paper brings together some of these challenges that needs to be addressed and some of the proposed solutions. We performed a review of some of the studies in the literature with a view of providing research directions for researchers.