Reviewing Effect of GAI (Generative Artificial Intelligence) on Patient-Centered Medicine

Abstract

The growing presence of Generative Artificial Intelligence (GenAI) in contemporary healthcare is changing the paradigm of patient-centered medicine by facilitating hyper-personalized, accessible, and high-efficiency care. GenAI has the potential to create human-like content and create synthetic data, and clinicians and patients’ equal recipients of the power of intelligent virtual assistants, automated documentation, and personalized communication. This review is the discussion of the technological development of GenAI tools, their uses in the delivery of personalized care, and how they transform clinical workflows. The three of the most significant areas of influence are improved patient-provider interaction, more efficient medical note-taking with the help of AI scribes, and constant patient contact with virtual health assistants. Although the possible advantages are high, issues of data privacy, chart bias, and medical responsibility are severe issues of concern. The paper also elaborates on ethical, legal, and social considerations of GenAI in the field of healthcare noting the requirements of trust, transparency, and fairness. An extensive literature review introduces an active research movement and defines the spheres of its betterment. The results underline the facts that responsible GenAI and its application can largely promote patients-centered medicine in case it is properly regulated by sound ethics and empirical confirmations. The future studies should concentrate on risk reduction and on the increased value of clinicality.