Comparison of two data interpretation programs in automated blood cell counters

Two data interpretation programs incorporated into two different automated blood cell counters were evaluated. The programs analysed size distribution histograms for screening for abnormal specimens. The messages given by the programs were ‘normal’, ‘abnormal’ and ‘suspect’. ‘Abnormal’ messages meant abnormalities in the values of the measured parameters. ‘Suspect’ messages were given when the histograms showed either a possibility of the existence of abnormal blood cells, or an abnormal level of such cells; re-examination by a manual method was necessary for such specimens. For reference, the manual differential was done. The false-negative rate for each kind of message was less than 10% and efficiency was about 90%. These programs were helpful in avoiding unnecessary manual observations in reducing the workload in a routine clinical laboratory.