Advances for Artificial Intelligence in Health Data Analytics to Drive Digital Systems Innovation

Abstract

Artificial intelligence in health (AIH) and health data has become a focus of attention for customers of health services, organizations providing health services, and the government organization monitoring the performance and outcome for health services. These three groups have vested interests in how, where, and when the health data can be used and delivered to facilitate and streamline the delivery and process for health services from adopting AIH. The driving force in AIH for health data analytics stems from the discovery of new information, analysis that seeks to provide a clear understanding of a problem, interpretation in making clear sense of the problem, and communication of meaningful data patterns that can be effectively used in finding solutions to drive digital systems innovation. Modern technology provides an important platform for the health data transformation at different stages of the process to deliver different kinds of health services adopting artificial intelligence.