Healthcare Intelligence and Decision Making: Big Data’s Role in Predictive Analytics for Clinical Decision-Making

Abstract

Technology and data are transforming healthcare systems. The use of big data in predictive analytics to anticipate healthcare outcomes, make accurate diagnoses, and improve care is a major advance. Predictive modeling analyzes patient data from EHRs, genetic data, and wearable devices to improve early diagnosis, targeted treatment, and efficiency. For example, predictors of chronic diseases like diabetes and heart disease can identify high-risk groups and treat them early, improving outcomes and saving money. A backpack matched to the patient's genetics and surroundings is also used. Privacy, system integration, and algorithmic transparency remain major issues. Predictive analytics may transform healthcare and overcome adoption hurdles in early detection and individualized care, as this article shows.