Recent Trends in Healthcare: Computational Intelligence, Challenges, and Opportunities

Abstract

Data are necessary for learning health systems, but feedback loops of knowledge into revised behaviour. This is dependent on knowledge application and management, both of which are reliant on efficient system development. The multidisciplinary area that covers the complete spectrum of health science, social science, information science, and technology is known as biomedical informatics. IssuesConclusions Policy makers and research funders must acknowledge the gap between the “two cultures” that currently exists and understand that in order to fully reap the social and economic benefits of data science and digital health, it is necessary to accept the interdisciplinary nature of biomedical informatics and to support a significant expansion of clinical informatics capacity and capability