ABSTRACT
Objective@#To develop autoverification rules to assistant the verification of biochemical results, based on laboratory information management system. @*Methods@#Designed six kinds of autoverification logic rules according to the guidelines of Clinical and Laboratory Standards Institute (CLSI) AUTO-10A and Accreditation Criteria for the Quality and Competence of Medical Laboratories(ISO15189: 2012), based on in-control of the Internal Quality Control. Those rules inculds: logic disorder rules, critical value rules, warning value rules, delta check rules, relevant contradictions rules, abnormal mode rules, etc. Those rules was setted up in laboratory information management system of Dian Diagnostics. From October 2016 to April 2017, The status of autoverification was checked according to the items and bar code, and compared with clinical diagnostic and manual review. @*Results@#The passing rate of autoverification is over 65% when counted according to tests and is 45% when counted according to sample code, the coincidence rate is 92% with clinical diagnosis.In passing results of autoverification, the coincidence rate is 97.48% to 100% when campared with manual verification, and in not-passing results, the coincidence rate is 82.98% to 85.21%. @*Conclusion@#(1)Autoverification can verify half of routine biochemical test results by setting intelligent logics and rules. (2)Autoverification rules must be verified by a certain amount of test results before they can be formally applied. (3)Autoverification could improve the speed and efficiency of post-test steps.(Chin J Lab Med, 2018, 41: 547-553)