TRANSFORMING HEALTHCARE DECISION-MAKING WITH GENERATIVE AI AND BIG DATA ANALYTICS IN CLOUD ENVIRONMENTS
Keywords:
Generative AI, Big Data Analytics, Cloud Computing, Healthcare Decision-Making, Patient Outcomes, Data Privacy, Autonomous Vehicle CybersecurityAbstract
The healthcare industry is undergoing a transformative phase driven by the integration of generative artificial intelligence (AI) and big data analytics within cloud computing frameworks. This paper examines how these advanced technologies enhance healthcare decision-making processes, resulting in improved patient outcomes and operational efficiencies. By leveraging extensive datasets, healthcare providers can derive actionable insights that facilitate personalized treatment strategies, optimize resource utilization, and streamline administrative functions. The study synthesizes existing literature on the applications and implications of generative AI and big data analytics in healthcare, highlighting their potential advantages and challenges. Empirical evidence underscores the effectiveness of these technologies in real-world applications, emphasizing the need for comprehensive frameworks that ensure data security and compliance.
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Copyright (c) 2024 Reddy Srivastava (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
