BACKGROUND: This article was aimed to test the use of validation rules for blood smear review after automated hematological testing using Mindray CAL-8000 (two hematological analyzers and one autoslider). METHODS: This study was based on 1013 peripheral blood samples (PB) referred for routine hematological testing. Results of testing on CAL-8000 were analyzed using both locally derived and International Consensus Group for Hematology (ICGH) validation rules, and then compared with data obtained by optical microscopy (OM). A workflow analysis was also completed. RESULTS: The overall agreement with locally derived and ICGH criteria was 91% and 85%, but a higher sensitivity was observed for locally derived criteria (0.97 vs 0.95). The percentage of false negative and false positive samples was 2.1% and 7.1% using ICGH criteria, and was 1.4% and 14% using locally defined rules. The throughput of CAL-8000 system was 208 samples/h, with a percentage of OM analysis comprised between 14% and 17%, and sensitivity of 0.97. As regards personnel activity, we estimated 0.8 full-time equivalent (FTE) of technical staff and 0.7 FTE of personnel for clinical validation of data and blood smear review. CONCLUSION: These results show that customization of validation rules is necessary for enhancing the quality of hematological testing and optimizing workflow.
BACKGROUND: This article was aimed to test the use of validation rules for blood smear review after automated hematological testing using Mindray CAL-8000 (two hematological analyzers and one autoslider). METHODS: This study was based on 1013 peripheral blood samples (PB) referred for routine hematological testing. Results of testing on CAL-8000 were analyzed using both locally derived and International Consensus Group for Hematology (ICGH) validation rules, and then compared with data obtained by optical microscopy (OM). A workflow analysis was also completed. RESULTS: The overall agreement with locally derived and ICGH criteria was 91% and 85%, but a higher sensitivity was observed for locally derived criteria (0.97 vs 0.95). The percentage of false negative and false positive samples was 2.1% and 7.1% using ICGH criteria, and was 1.4% and 14% using locally defined rules. The throughput of CAL-8000 system was 208 samples/h, with a percentage of OM analysis comprised between 14% and 17%, and sensitivity of 0.97. As regards personnel activity, we estimated 0.8 full-time equivalent (FTE) of technical staff and 0.7 FTE of personnel for clinical validation of data and blood smear review. CONCLUSION: These results show that customization of validation rules is necessary for enhancing the quality of hematological testing and optimizing workflow.
Authors: L Palmer; C Briggs; S McFadden; G Zini; J Burthem; G Rozenberg; M Proytcheva; S J Machin Journal: Int J Lab Hematol Date: 2015-03-02 Impact factor: 2.877
Authors: Rachel D Starks; Anna E Merrill; Scott R Davis; Dena R Voss; Pamela J Goldsmith; Bonnie S Brown; Jeff Kulhavy; Matthew D Krasowski Journal: J Pathol Inform Date: 2021-04-07