Recently, China Quality Certification Centre (CQC) completed the full-process evaluation of the"Perioperative Tumor Anesthesia and Analgesia Dataset" submitted by Jiangsu Cancer Hospital in accordance with the Implementation Rules for Data Product Quality Evaluation, and awarded it an AAAA-level Medical Data Quality Evaluation Certificate.
This evaluation fully incorporated the professional attributes and scenario complexity of medical data, and established a comprehensive evaluation system covering six first-level indicators—standardization, completeness, accuracy, consistency, timeliness, and accessibility—along with 20 second-level indicators. Through three stages—document review, data assessment, and on-site verification—the CQC expert review panel systematically examined Jiangsu Cancer Hospital's data governance system, security management, patient privacy protection mechanisms, and industry regulatory compliance capabilities, achieving full-process control from "data testing quality" to"data production quality." The panel concluded that this dataset, which focuses on the core diagnosis and treatment processes of perioperative tumor anesthesia and analgesia, boasts rich and comprehensive data resources, well-established quality control processes, and a highly professional and systematic approach to development.
As a leading professional quality service institution in China, CQC has long been committed to promoting the high-quality development of data elements across all sectors through conformity assessment. This evaluation of medical datasets not only provides a professional assessment of medical institutions’ data governance capabilities, but also lays a credible quality foundation for the compliant application of medical data and the clinical deployment of artificial intelligence.
Moving forward, CQC will continue to refine its data quality service system in the medical and health field, leverage the technical support and value-transmission role of quality services, assist more medical institutions in enhancing their data governance capabilities, promote the implementation and application of digital and intelligent achievements in healthcare, and contribute to the high-quality development of the health sector.