NAVIGATING THE ETHICAL LANDSCAPE: INTEGRATING BIG DATA AND AI IN HEALTHCARE DECISION-MAKING

*Emani Sai Sri Jayanthi, Akshaya Reddy Akula and Aishwarya Janjale

ABSTRACT

In recent years, the healthcare industry has witnessed a transformative integration of Big Data and Artificial Intelligence (AI), ushering in a new era of possibilities and ethical considerations. A. The term "Big Data" refers to the vast volume, variety, and velocity of healthcare data generated from various sources, such as electronic health records, medical imaging, and wearable devices. This influx of data offers unprecedented opportunities for comprehensive patient profiling, predictive analytics, and evidence-based decision-making. Simultaneously, B. the accelerated advancements in AI technologies have propelled healthcare decision-making into a realm where algorithms and machine learning models can analyze massive datasets, offering insights that were previously unimaginable. This rapid evolution has not only enhanced diagnostic accuracy and treatment personalization but has also raised ethical questions regarding privacy, bias, and transparency. The increasing adoption of AI in healthcare decision-making, from diagnostic tools to treatment recommendations, necessitates a thorough exploration of the ethical implications inherent in these technologies.

Keywords: .