Literature DB >> 25278581

Clinical microbiology informatics.

Daniel D Rhoads1, Vitali Sintchenko2, Carol A Rauch3, Liron Pantanowitz4.   

Abstract

The clinical microbiology laboratory has responsibilities ranging from characterizing the causative agent in a patient's infection to helping detect global disease outbreaks. All of these processes are increasingly becoming partnered more intimately with informatics. Effective application of informatics tools can increase the accuracy, timeliness, and completeness of microbiology testing while decreasing the laboratory workload, which can lead to optimized laboratory workflow and decreased costs. Informatics is poised to be increasingly relevant in clinical microbiology, with the advent of total laboratory automation, complex instrument interfaces, electronic health records, clinical decision support tools, and the clinical implementation of microbial genome sequencing. This review discusses the diverse informatics aspects that are relevant to the clinical microbiology laboratory, including the following: the microbiology laboratory information system, decision support tools, expert systems, instrument interfaces, total laboratory automation, telemicrobiology, automated image analysis, nucleic acid sequence databases, electronic reporting of infectious agents to public health agencies, and disease outbreak surveillance. The breadth and utility of informatics tools used in clinical microbiology have made them indispensable to contemporary clinical and laboratory practice. Continued advances in technology and development of these informatics tools will further improve patient and public health care in the future.
Copyright © 2014, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 25278581      PMCID: PMC4187636          DOI: 10.1128/CMR.00049-14

Source DB:  PubMed          Journal:  Clin Microbiol Rev        ISSN: 0893-8512            Impact factor:   26.132


  168 in total

1.  The clinical microbiology laboratory director in the United States hospital setting.

Authors:  Richard B Thomson; Michael L Wilson; Melvin P Weinstein
Journal:  J Clin Microbiol       Date:  2010-08-25       Impact factor: 5.948

2.  Building phylogenetic trees from molecular data with MEGA.

Authors:  Barry G Hall
Journal:  Mol Biol Evol       Date:  2013-03-13       Impact factor: 16.240

3.  Incidence and predictors of microbiology results returning postdischarge and requiring follow-up.

Authors:  Robert El-Kareh; Christopher Roy; Gregor Brodsky; Molly Perencevich; Eric G Poon
Journal:  J Hosp Med       Date:  2011-05       Impact factor: 2.960

4.  Improving empiric antibiotic selection using computer decision support.

Authors:  R S Evans; D C Classen; S L Pestotnik; H P Lundsgaarde; J P Burke
Journal:  Arch Intern Med       Date:  1994-04-25

5.  Reporting practices of microbiology laboratories.

Authors:  V P Ackerman; R C Pritchard; D J Groot Obbink; R Bradbury; A Lee
Journal:  J Clin Pathol       Date:  1980-09       Impact factor: 3.411

Review 6.  Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units.

Authors:  C A M Schurink; P J F Lucas; I M Hoepelman; M J M Bonten
Journal:  Lancet Infect Dis       Date:  2005-05       Impact factor: 25.071

7.  The world's microbiology laboratories can be a global microbial sensor network.

Authors:  Thomas F O'Brien; John Stelling
Journal:  Biomedica       Date:  2014-04       Impact factor: 0.935

8.  Rapid bacterial whole-genome sequencing to enhance diagnostic and public health microbiology.

Authors:  Sandra Reuter; Matthew J Ellington; Edward J P Cartwright; Claudio U Köser; M Estée Török; Theodore Gouliouris; Simon R Harris; Nicholas M Brown; Matthew T G Holden; Mike Quail; Julian Parkhill; Geoffrey P Smith; Stephen D Bentley; Sharon J Peacock
Journal:  JAMA Intern Med       Date:  2013-08-12       Impact factor: 21.873

9.  Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends.

Authors:  Justin R Ortiz; Hong Zhou; David K Shay; Kathleen M Neuzil; Ashley L Fowlkes; Christopher H Goss
Journal:  PLoS One       Date:  2011-04-27       Impact factor: 3.240

10.  Standard operating procedure for optimal identification of mycobacteria using 16S rRNA gene sequences.

Authors:  Enrico Tortoli
Journal:  Stand Genomic Sci       Date:  2010-09-28
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  20 in total

Review 1.  Review of Telemicrobiology.

Authors:  Daniel D Rhoads; Blaine A Mathison; Henry S Bishop; Alexandre J da Silva; Liron Pantanowitz
Journal:  Arch Pathol Lab Med       Date:  2015-08-28       Impact factor: 5.534

2.  Lowering the Barriers to Routine Whole-Genome Sequencing of Bacteria in the Clinical Microbiology Laboratory.

Authors:  Daniel D Rhoads
Journal:  J Clin Microbiol       Date:  2018-08-27       Impact factor: 5.948

Review 3.  Clinical and laboratory considerations for the rapid detection of carbapenem-resistant Enterobacteriaceae.

Authors:  Ritu Banerjee; Romney Humphries
Journal:  Virulence       Date:  2016-05-11       Impact factor: 5.882

Review 4.  Antimicrobial Stewardship: How the Microbiology Laboratory Can Right the Ship.

Authors:  Philippe Morency-Potvin; David N Schwartz; Robert A Weinstein
Journal:  Clin Microbiol Rev       Date:  2016-12-14       Impact factor: 26.132

Review 5.  Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for the Rapid Detection of Antimicrobial Resistance Mechanisms and Beyond.

Authors:  Marina Oviaño; Germán Bou
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

6.  Computer Vision and Artificial Intelligence Are Emerging Diagnostic Tools for the Clinical Microbiologist.

Authors:  Daniel D Rhoads
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

Review 7.  Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.

Authors:  Zisis Kozlakidis; Alex van Belkum; Olivier Vandenberg; Géraldine Durand; Marie Hallin; Andreas Diefenbach; Vanya Gant; Patrick Murray
Journal:  Clin Microbiol Rev       Date:  2020-02-26       Impact factor: 26.132

8.  Identification of Low-Level Vancomycin Resistance in Staphylococcus aureus in the Era of Informatics.

Authors:  Bradley A Ford
Journal:  J Clin Microbiol       Date:  2016-02-10       Impact factor: 5.948

9.  Optimization of Turnaround Time for Group A Streptococcus PCR.

Authors:  Thomas J S Durant; Jacob Merwede; Jesse Reynolds; David R Peaper
Journal:  J Clin Microbiol       Date:  2019-08-26       Impact factor: 5.948

Review 10.  Forty Years of Molecular Diagnostics for Infectious Diseases.

Authors:  Jonathan E Schmitz; Charles W Stratton; David H Persing; Yi-Wei Tang
Journal:  J Clin Microbiol       Date:  2022-07-19       Impact factor: 11.677

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