Assessing the Integration of AI Technologies in Enhancing Patient Care Delivery in U.S. Hospitals

Abstract

The healthcare industry's integration of artificial intelligence (AI) has been significantly accelerated by the COVID-19 pandemic. The urgency for swift diagnosis and treatment, coupled with the rise in demand for remote care and monitoring, has prompted a concentrated effort towards AI-driven solutions aimed at enhancing healthcare delivery and patient outcomes. Various AI-powered technologies including predictive analytics, natural language processing, and computer vision have been harnessed to facilitate screening and diagnosis, expedite drug discovery, and advance vaccine development. Furthermore, AI-driven chatbots and virtual assistants have been deployed for patient triage and remote care provision. While the incorporation of AI in healthcare has yielded substantial benefits, it also poses inherent challenges. This paper delves into the adoption, advantages, and obstacles of AI in the healthcare sector, illuminating AI's potential to revolutionize healthcare delivery while emphasizing the imperative of conscientious implementation and ethical considerations. Additionally, this study presents five case studies of leading U.S. hospitals leveraging AI for various purposes.