Method for analyzing at least one specimen comprising the steps: analyzing at least one specimen by using at least one laboratory instrument; quality-checking the analysis results for determining an out-of-control condition, in particular a large out-of-control condition; upon receiving a notification of an out-of-control condition from the at least one laboratory instrument: analyzing data of a specimen test from said laboratory instrument to determine a scope of potential error caused by said out-of-control condition; determining the scope of potential error comprising estimating the magnitude of the out of control condition; estimating for every specimen evaluated since the last known good condition the probability of the specimen data being incorrect; computing a predicted number of incorrect results N I expected within that specimen data, whereby, if the estimated magnitude of the out of control condition is found to be too low, no further evaluation is conducted, if the predicted number of incorrect results N I is less than 1, no recovery is conducted, if the predicted number of incorrect results N I is below a predefined threshold for automated sequential recovery, applying another recovery method, if N I is not less than 1 and N I is greater than a predefined threshold for automated sequential recovery applying the following steps for recovering from a large out of control condition: designing a CUSUM rule to predict if a specimen test data point was produced while the large out-of-control condition existed; retrieving patient specimen and retesting them, thereby re-evaluating at least a portion of previously tested specimens to generate new data of test results; applying said CUSUM rule to accept or reject the re-evaluated data of test results; replacing at least a portion of previously tested specimen data with said new data of test results. analyzing at least one specimen by using at least one laboratory instrument; quality-checking the analysis results for determining an out-of-control condition, in particular a large out-of-control condition; upon receiving a notification of an out-of-control condition from the at least one laboratory instrument: analyzing data of a specimen test from said laboratory instrument to determine a scope of potential error caused by said out-of-control condition; determining the scope of potential error comprising estimating the magnitude of the out of control condition; estimating for every specimen evaluated since the last known good condition the probability of the specimen data being incorrect; computing a predicted number of incorrect results N I expected within that specimen data, whereby, if the estimated magnitude of the out of control condition is found to be too low, no further evaluation is conducted, if the predicted number of incorrect results N I is less than 1, no recovery is conducted, if the predicted number of incorrect results N I is below a predefined threshold for automated sequential recovery, applying another recovery method, if N I is not less than 1 and N I is greater than a predefined threshold for automated sequential recovery applying the following steps for recovering from a large out of control condition: designing a CUSUM rule to predict if a specimen test data point was produced while the large out-of-control condition existed; retrieving patient specimen and retesting them, thereby re-evaluating at least a portion of previously tested specimens to generate new data of test results; applying said CUSUM rule to accept or reject the re-evaluated data of test results; replacing at least a portion of previously tested specimen data with said new data of test results. designing a CUSUM rule to predict if a specimen test data point was produced while the large out-of-control condition existed; retrieving patient specimen and retesting them, thereby re-evaluating at least a portion of previously tested specimens to generate new data of test results; applying said CUSUM rule to accept or reject the re-evaluated data of test results; replacing at least a portion of previously tested specimen data with said new data of test results.