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UF-5000 flow cytometer: A new technology to support microbiologists' interpretation of suspected urinary tract infections.

Roberto IppolitiIsabella AllieviAndrea Rocchetti
Published in: MicrobiologyOpen (2020)
This case study aims to describe the adoption of an innovative flow cytometer (i.e., UF-5000), which can support the microbiologists' process of diagnosing suspected urinary tract infections (UTIs). The new clinical information provided can be used to improve the identification of both contamination and colonization, thus reducing inappropriate antibiotic prescriptions. In July and August 2017, the Microbiology Laboratory of Alessandria (Italy) conducted a retrospective monocentric study analyzing data about 1,295 urine specimens from inpatients and outpatients with symptoms of UTIs. The results of this study show that the innovative technology can successfully support the diagnostic process in microbiology laboratories and, consequently, the supply of sustainable treatments by hospitals.
Keyphrases
  • urinary tract infection
  • healthcare
  • electronic health record
  • social media
  • machine learning
  • big data
  • health information
  • heavy metals
  • infectious diseases
  • climate change
  • deep learning
  • ultrasound guided
  • data analysis