The Role of Big Data in Predicting Health Outcomes

Mwende Muthoni D.

Faculty of Medicine Kampala International University Uganda

ABSTRACT

By offering novel approaches for forecasting health outcomes, big data is transforming healthcare. The exponential growth of health-related data, obtained via biopharmaceuticals, wearable devices, and digital health records, has resulted in the creation of extensive analysis programs. These data-driven methodologies provide more precise forecasts, therefore assisting hospitals in resource allocation, tailoring patient treatment, and averting possible health emergencies. Nevertheless, the use of big data also brings about notable obstacles, such as issues about privacy, increasing processing complexity, and the need for specialised analytical methods. In this research, the significance of forecasting health outcomes, the difficulties of using big data in healthcare, and the possible prospects it offers are examined. This review analysed detailed case studies that demonstrate the efficacy of big data in forecasting patient health paths, enhancing healthcare administration, and assisting in preventative medicine.

Keywords: Big data, health outcomes, healthcare analytics, predictive modeling, machine learning.

CITATION: Mwende Muthoni D. The Role of Big Data in Predicting Health Outcomes. Research Output Journal of Biological and Applied Science, 2024 3(3):36-39.