title: Clinical laboratory evaluation of automated microbial detection/identification system in analysis of clinical urine specimens.
abstract: More than 4,000 clinical urine specimens were evaluated with an automated microbial detection/identification system compared to a standarized manual analysis and the routine modalities used in five peer-group laboratories. The comparison indicates that the automated system recognizes the nine groups of significant microorganisms in urinary tract infections in hospitalized patients with the same efficiency as a standarized manual method. The automated system's ability to enumerate the bacterial populations in the original clinical specimen attained a high degree of accuracy.
mesh_terms: D001331:Automation; D001419:Bacteria / Q000302:isolation & purification*; D001431:Bacteriological Techniques / Q000592:standards; D003937:Diagnosis, Differential; D006801:Humans; D014552:Urinary Tract Infections / Q000175:diagnosis; D014556:Urine / Q000382:microbiology*