Integrating business analytics in healthcare: Enhancing patient outcomes through data-driven decision making

Abstract

This review paper explores the integration of business analytics in healthcare, focusing on its role in enhancing patient outcomes through data-driven decision-making. Key impact areas include improved diagnostic accuracy, personalized medicine, and operational efficiency. The paper also addresses data privacy challenges, quality, and organizational resistance. Emerging technologies such as AI, machine learning, and big data analytics are highlighted as transformative tools for healthcare innovation. Strategic recommendations emphasize the need for robust technical infrastructure, workforce training, and supportive policy frameworks. The conclusion underscores the potential of business analytics to revolutionize healthcare by enabling more informed, efficient, and patient-centered care.