The healthcare and life sciences sector are among the most data-intensive industries in the world. Modern clinical information systems such as Electronic Health Records (EHRs), Computerized Physician Order Entry (CPOE), Laboratory Information Systems, Picture Archiving and Communication Systems (PACS), and medical sensors generate immense volumes of heterogeneous raw data daily. This vast accumulation, often referred to as Big Data in healthcare, holds significant potential for transforming the industry. Big Data Analytics (BDA) involves collecting, managing, and analyzing Healthcare Big Data to derive actionable insights that enhance patient outcomes, streamline healthcare operations, and fuel medical innovation.
Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, personalizing treatments, optimizing operations, and improving patient outcomes. AI-powered technologies leverage machine learning, deep learning, natural language processing (NLP), and robotics to analyze vast amounts of medical data, automate complex tasks, and support clinical decision-making.
Big Data Analytics in AI is reshaping healthcare by enabling intelligent decision-making, improving patient outcomes, and optimizing operational efficiency. As AI continues to evolve, its integration with Big Data will further enhance patient care, operational efficiency, and medical research, ultimately revolutionizing the healthcare industry.