Design and Implementation of a Perioperative Medical Data Quality Management Platform

Abstract

At present, there are more than 60 million hospitalized surgeries each year in China, and hundreds of millions of medical data records have been accumulated. The diversity, speed and other characteristics make it confounding for perioperative medical data to comply with consistent standards, resulting in widespread quality problems. Many issues escape simple inspections because the data generated for surgeries are from multiple data streams. Hence perioperative medical data quality management platform is designed in this paper to unite data from multiple sources and address issues discovered from cross-referencing. By representing cross-referencing data rules with temporal logic, it implements a comprehensive work platform for data quality inspection, data quality control and data annotation of perioperative medical data.