关键词: 不正确检验报告, 实验室信息系统, 帕累托分析, 风险控制, 自动化审核

Abstract:

Objective To investigate the feasibility of reducing incorrect laboratory report risk，reducing audit risks and improving report quality through automated transformation of laboratory information system（LIS）. Methods The retrospective data from 364 incorrect laboratory reports in the 2023 LIS system of Wuhan Asia General Hospital were collected. A fishbone diagram was used to categorize causes，and a Pareto chart identified key influencing factors. Targeted LIS optimizations were implemented. The improvements were tracked using 2024 annual data. Results The primary causes of incorrect reports were "human operation"（39.29%） and "abnormal results"（37.91%）. After LIS optimization，the number of incorrect laboratory reports in 2024 decreased，representing a year-on-year reduction of 34.89%，with a continuous decline in monthly report error rates. Key functional modules（e.g.，symbol filtering，suspected value tagging，clinical diagnosis validation） reduced manual intervention and improved abnormal result interception rates. Conclusions Automated LIS settings effectively mitigate post-inspection audit risks，thereby reducing incorrect report rates.

Key words: Incorrect laboratory report, Laboratory information system, Pareto analysis, Risk control, Automated audit