Convergence of artificial intelligence research in healthcare: Trends and approaches

Abstract

A value-based strategy relies on the implementation of a patient-centered care system that will directly benefit patient care outcomes and reduce costs of care. This paper identifies the trends and approaches to artificial intelligence (AI) research in healthcare. The convergence of multiple disciplines in the conduct of healthcare research requires partnerships to be established among academic scholars, healthcare practitioners, and industrial experts in software design and data science. This collaborative work will greatly enhance the formulation of theoretically relevant frameworks to guide empirical research and application, particularly relevant in the search for causal mechanisms to reduce costly and avoidable hospital readmissions for chronic conditions. An example of implementing patient-centered care at the community level is presented and entails the influence of the context, design, process, performance and outcomes on personal and population health, employing AI research and informational technology.