Dynamic Monitoring System for Patient Diagnostic Records

Big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology. This is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome. Also it refers to electronic health data sets so large and complex that they are difficult (or impossible) to manage and analysis of big data inside a cloud environment. This initiative move towards to build an abstract framework for context-aware decision-making processes provide real-time personalized health-care services. Analyzing disease patterns and tracking disease outbreaks and transmission to improve public health surveillance and speed response. Faster development of more accurately targeted vaccines, e.g., choosing the annual influenza strains and disease. It Identify the true abnormal conditions of patients having variations in blood pressure (BP) and heart rate (HR). The evaluation shows a much better estimate of detecting proper anomalous situations for different types of patients. This model simpli�es the tasks of healthcare professionals by not swamping them with false alerts