AI - Driven Innovations in Patient Safety: A Comprehensive Review of Quality Care

Vedamurthy Gejjegondanahalli Yogeshappa

Abstract: This review paper discusses how Artificial intelligence (AI) can positively change patient safety and quality care in health systems. In the process of developing systems in medical care delivery, it was realized that there was a need for patient safety due to the increasing standards in health care delivery. As a system involving data analysis, modeling, and automation, AI is set to revolutionize medical systems, help avoid risks, minimize medical mistakes, and improve patients' quality of life. The paper also presents an overview of the currently trending AI - based solutions, including predictive analytics, machine learning algorithms, natural language processing, and robotic process automation, that are being implemented in clinical care. The use of AI in patient safety costs is presented in different specialties concerning diagnosis, therapy, medication administration, and patients' critical signs. Moreover, the sensibility and discussion show how AI technologies affect the quality frameworks and ethics of healthcare, along with the application problems in the healthcare context. The study indicates that using AI in healthcare can minimize adverse events, assist in decision - making processes, and eventually increase the quality of care. Nevertheless, the mentioned approaches to establishing AI in healthcare should have strong governance and constant evaluations throughout all interdisciplinary fields to guarantee that the advanced tools of artificial intelligence will not cause new sorts of harm.

Keywords: Artificial Intelligence, Patient Safety, Quality Care, Predictive Analytics, Machine Learning, Clinical Decision Making