In a centralized system, data management becomes more streamlined and efficient. Centralized databases can integrate information from various healthcare providers, laboratories, and public health agencies, creating a comprehensive dataset for analysis. This integration helps in tracking the spread of diseases, understanding transmission dynamics, and identifying high-risk populations. Moreover, centralized data management systems can support the implementation of standardized protocols for data collection, processing, and reporting, thereby enhancing data quality and reliability.
