NAVIGATING THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND LAW IN HEALTHCARE: COMPLICATIONS AND CORRECTIONS

Abstract

Due to the growing availability of healthcare data and advancements in big data analytics, the use of Artificial Intelligence (AI) technologies in healthcare has become indispensable. By identifying important information from giant volumes of data, enhancing diagnostics, eliminating medical errors, and simplifying administrative procedures, well-trained artificial intelligence systems could transform the healthcare system. Given these advantages, fears about trust, bias, data access, privacy, and the concern for openness of the use of AI has resulted in calls for review of the current legal frameworks governing AI. Examining these concerns, this article highlights the need of revising traditional legal concepts in healthcare, demystifying policies on data security and privacy, close collaboration among stakeholders, regular evaluation of efficiency of AI legal framework, and building public confidence through awareness. These reforms, with appropriate regulatory scrutiny, will integrate AI technology in healthcare sector while encouraging innovation without compromising privacy and data protection.