Prospects and Challenges of Big Data Analytics in Medical Science

Abstract

Over the past decade (2010-2020), Big Data Analytics (BDA) has emerged as a game-changer in the medical landscape, offering unprecedented potential for enhancing patient care, streamlining operations, and advancing scientific inquiry. This study delves into the evolution of BDA within the medical sphere from 2010 to 2020, investigating the myriad opportunities it has unlocked and the obstacles it has encountered. Notable opportunities include the refinement of personalized treatment approaches and the application of predictive analytics. However, persistent challenges such as navigating data privacy regulations and addressing workforce shortages have posed ongoing hurdles. By scrutinizing the trajectory of BDA over the past decade, this paper seeks to shed light on its profound influence on medical service delivery and to propose strategies for surmounting adoption challenges.