Over the past decade, big data in healthcare has evolved from a promising concept into a transformative force reshaping patient care, clinical research, and hospital operations. What began as fragmented data stored in electronic health records has now expanded into massive, interconnected datasets drawn from wearables, genomic sequencing, medical imaging, and real-world evidence. By applying advanced analytics, artificial intelligence (AI), and machine learning to this wealth of information, healthcare providers can now detect disease risks earlier, personalize treatment plans, streamline workflows, and even predict future health trends. From reducing hospital readmis...
