Verification of automated review, release and reporting of results with assessment of the risk of harm for patients: the procedure algorithm proposal for clinical laboratories

OBJECTIVES: Autoverification increases the efficiency of laboratories. Laboratories accredited according to ISO 15189:2022 need to validate their processes, including autoverification, and assess the associated risks to patient safety. The aim of this study was to propose a systematic verification algorithm for autoverification and to assess its potential risks. METHODS: The study was conducted using retrospective data from the Laboratory Information System (LIS). Seven laboratory medicine specialists participated. Autoverification rules were defined for analytes in serum, stool, urine and whole blood determined on Alinity ci (Abbott), Atellica 1500 (Siemens) and ABL90 FLEX (Radiometer). Criteria included internal quality control results, instrument flags, hemolysis/icteria/lipemia indices, median patient values, critical values, measurement ranges, delta checks, and reference values. Verification was performed step by step. Risk analysis was performed using Failure Modes and Effects Analysis and the Risk Priority Number (RPN) was calculated. RESULTS: During the study, 23,633 laboratory reports were generated, containing 246,579 test results for 167 biochemical tests. Of these, 198,879 (80.66 %) met the criteria for autoverification. For 2,057 results (0.83 %), the experts disagreed with the autoverification criteria (false negatives). Discrepancies were mainly associated to median and delta check values. Only 45 false positives (0.02 %) were identified, resulting in an RPN of 0 for all cases. CONCLUSIONS: The autoverified and non-autoverified results showed high agreement with the expert opinions, with minimal disagreement (0.02 % and 0.83 %, respectively). The risk analysis showed that autoverification did not pose a significant risk to patient safety. This study, the first of its kind, provides step-by-step recommendations for implementing autoverification in laboratories.