Role of Artificial Intelligence, Clinicians & Policymakers in Clinical Decision Making: A Systems Viewpoint

TL;DR

This paper explores how artificial intelligence, clinicians, and policymakers interact within complex healthcare systems, emphasizing their combined influence on clinical decision making through a systems thinking perspective.

Contribution

It provides a systems viewpoint on the interconnected roles of AI, clinicians, and policymakers in healthcare decision processes, highlighting their interdependencies.

Findings

AI influences clinical decisions through complex interactions.

Policymakers' regulations impact AI deployment in healthcare.

Clinicians' practices are shaped by system-wide interactions.

Abstract

What is a system? Is one of those questions that is yet not clear to most individuals in this world. A system is an assemblage of interacting, interrelated and interdependent components forming a complex and integrated whole with an unambiguous and common goal. This paper emphasizes on the fact that all components of a complex system are inter-related and interdependent in some way and the behavior of that system depends on these independences. A health care system as portrayed in this article is widespread and complex. This encompasses not only hospitals but also governing bodies like the FDA, technologies such as AI, biomedical devices, Cloud computing and many more. The interactions between all these components govern the behavior and existence of the overall healthcare system. In this paper, we focus on the interaction of artificial intelligence, care providers and policymakers and analyze using systems thinking approach, their impact on clinical decision making