Real-time data processing involves several steps: 1. Data Collection: Data is collected from various sources such as medical imaging, laboratory tests, and patient-reported outcomes. 2. Data Integration: The collected data is integrated into a unified system, often utilizing cloud computing for storage and processing. 3. Data Analysis: Advanced algorithms and machine learning models analyze the data to detect patterns and provide insights. 4. Actionable Insights: The processed data is then used to make informed decisions regarding diagnosis, treatment plans, and patient management.
