Using Big Data Insights and AI to Strengthen Clinical ONCOLOGY Decision-Making in the Medical Field

Abstract

Big data integration is becoming increasingly important in the changing healthcare landscape for informed clinical decision making. This in-depth review explores the challenges and applications of big data in healthcare, highlighting how it can improve clinical decision-making processes. 211 papers published from 2019 to 2023 were thoroughly examined, and the results provide relevant insights into the many ways and means of applying big data analytics to healthcare. Through a comprehensive review of a wide range of academic literature, this review not only presents current issues but also suggests new directions and solutions for action. It provides a comprehensive set of current and future directions for the use of Big Data in healthcare, making it an invaluable resource for academics. This article seeks to assist researchers in choosing suitable approaches by means of a methodical review of the literature, so promoting a more coherent and cooperative research environment. Through an analysis of the subtleties of research pertaining to healthcare, the review adds to the current conversation on how to use Big Data insights to drive improvements in clinical decision-making for better patient outcomes.

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