An AI-Powered Healthcare System for Enhanced Patient Care

Abstract

Abstract: All over the world, healthcare systems struggle with patient data management, providing correct diagnoses, and running their operations smoothly. The paper outlines the case of our project, an AI-integrated healthcare management system which utilizes cloud computing, machine learning, and natural language processing to meet these challenges. Our implementation explains how compliance with healthcare regulations and data privacy standards were maintained alongside significant improvements in diagnostic accuracy, operational efficiency, and patient engagement. The advancement of AI technology is likely to change healthcare as we know it, from diagnostics to treatment and from drug discovery to patient management. In this research work, we analyze in detail one aspect of AI in healthcare, which is the effectiveness, accuracy, and accessibility of its implementation suppression. Furthermore, we analyze the impact that AI will have on speeding up the drug's discovery process by transforming their target identification, lead optimization, and the design and analysis of clinical trials. Our system for post-discharge patient care is designed to comprehensively address the needs of every patient by providing ease of follow-up appointment scheduling, educational material, and facilitating communication with the patient's healthcare team

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