Which process allows health data to be systematically reviewed and categorized?

The process of data abstraction is essential for systematically reviewing and categorizing health data. This involves extracting specific data elements from various sources, such as clinical records or administrative databases, and organizing them into a structured format. Data abstraction enables health information professionals to convert unorganized data into meaningful information that can be analyzed for trends, quality assessments, and research purposes.

In the context of health information management, data abstraction plays a crucial role in ensuring that relevant data is captured accurately and efficiently, allowing for improved decision-making and healthcare outcomes. By categorizing and organizing the extracted data, health organizations can better identify patterns, facilitate reporting, and enhance overall data integrity.