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Research Paper | Information Technology | India | Volume 12 Issue 12, December 2023 | Popularity: 3.3 / 10

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Gen AI-Powered Clinical Guidelines: Automating the Future of Evidence-Based Care

Ramanakar Reddy Danda

Abstract: This essay discusses how Gen AI technologies could potentially revolutionize the future delivery of evidence-based care. The future of healthcare is already here. In accordance with the deployment of various machine learning, RFID, NFC, robotics, computer vision, and natural language processing technologies as an innovation agent in all healthcare processes, algorithms make decisions faster, more predictable, and less biased. The technologies are profoundly changing the self-analysis and decision-making processes of professionals, patients and clients. Gen AI is engaged in the support, promotion and automation of the creation of new medical knowledge, analysis of data, recognition of patterns, identification of links, and prediction of measures in a particular clinical situation. Gen AI systems use mass data, which is used to improve algorithms, are augmented by them, and are personalised to a specific case, redirects attention to a certain number of patients, related to previously unknown locations based on hidden complex relations, suggest suspicious circumstances, and produce actionable instructions which may be connected to the digital front-end app, content display, or API for the integration of EHR systems. Future work includes wireless enhanced immersive virtual AI-powered access for the creation of environments in which life-like human interactions occur for training based on 5G and edge computing, allowing for the creation of environments in which sequences of actions have an AI-enhanced effect on the digital and physical sector; impacts on patients, medical professionals, business, and population health are taken into account. The objective of the study will be the description, positioning, durability, applications, impacts, and reflection on a set of new, future, and sometimes even speculative approaches, methods, and solutions in different fields, represented throughout.

Keywords: healthcare automation, artificial intelligence, evidence-based care, clinical guidelines, patient care, Generative AI, Clinical Guidelines, Evidence-Based Care, Healthcare Automation, AI in Medicine, Medical Decision Support, Personalized Treatment Plans, AI Algorithms in Healthcare, Healthcare Efficiency, Predictive Analytics, Machine Learning in Medicine, AI-Driven Healthcare Solutions, Medical Knowledge Synthesis, Clinical Decision-Making, Digital Health Transformation

Edition: Volume 12 Issue 12, December 2023

Pages: 2184 - 2190

DOI: https://www.doi.org/10.21275/SR23129145353

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