About: Using Informatics and the Electronic Medical Record to Describe Antimicrobial Use in the Clinical Management of Diarrhea Cases at 12 Companion Animal Practices

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Using Informatics and the Electronic Medical Record to Describe Antimicrobial Use in the Clinical Management of Diarrhea Cases at 12 Companion Animal Practices Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Using Informatics and the Electronic Medical Record to Describe Antimicrobial Use in the Clinical Management of Diarrhea Cases at 12 Companion Animal Practices
Creator	Anholt, R Berezowski, J Ribble, C Russell, M Stephen, C
source	Medline; PMC
abstract	Antimicrobial drugs may be used to treat diarrheal illness in companion animals. It is important to monitor antimicrobial use to better understand trends and patterns in antimicrobial resistance. There is no monitoring of antimicrobial use in companion animals in Canada. To explore how the use of electronic medical records could contribute to the ongoing, systematic collection of antimicrobial use data in companion animals, anonymized electronic medical records were extracted from 12 participating companion animal practices and warehoused at the University of Calgary. We used the pre-diagnostic, clinical features of diarrhea as the case definition in this study. Using text-mining technologies, cases of diarrhea were described by each of the following variables: diagnostic laboratory tests performed, the etiological diagnosis and antimicrobial therapies. The ability of the text miner to accurately describe the cases for each of the variables was evaluated. It could not reliably classify cases in terms of diagnostic tests or etiological diagnosis; a manual review of a random sample of 500 diarrhea cases determined that 88/500 (17.6%) of the target cases underwent diagnostic testing of which 36/88 (40.9%) had an etiological diagnosis. Text mining, compared to a human reviewer, could accurately identify cases that had been treated with antimicrobials with high sensitivity (92%, 95% confidence interval, 88.1%–95.4%) and specificity (85%, 95% confidence interval, 80.2%–89.1%). Overall, 7400/15,928 (46.5%) of pets presenting with diarrhea were treated with antimicrobials. Some temporal trends and patterns of the antimicrobial use are described. The results from this study suggest that informatics and the electronic medical records could be useful for monitoring trends in antimicrobial use.
has issue date	2014-07-24(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0103190
bibo:pmid	25057893
has license	cc-by
sha1sum (hex)	f8f2a61fb217ad9fb00b93b7ec2bbb016bcbb881
schema:url	https://doi.org/10.1371/journal.pone.0103190
resource representing a document's title	Using Informatics and the Electronic Medical Record to Describe Antimicrobial Use in the Clinical Management of Diarrhea Cases at 12 Companion Animal Practices
has PubMed Central identifier	PMC4109994
has PubMed identifier	25057893
schema:publication	PLoS One
resource representing a document's body	covid:f8f2a61fb217ad9fb00b93b7ec2bbb016bcbb881#body_text
is schema:about of	named entity 'cases' named entity 'companion animal' named entity 'cases' named entity 'companion animals' named entity 'explore' named entity 'electronic medical records' named entity 'Practices' named entity 'Use' named entity 'Clinical Management' named entity 'USE' covid:arg/f8f2a61fb217ad9fb00b93b7ec2bbb016bcbb881 named entity 'COMPANION ANIMAL' named entity 'MONITOR' named entity 'TARGET' named entity 'TECHNOLOGIES' named entity 'ELECTRONIC MEDICAL RECORD' named entity 'SUGGEST' named entity 'USEFUL' named entity 'LABORATORY TESTS' named entity 'TEXT' named entity 'CONFIDENCE INTERVAL' named entity 'PERFORMED' named entity 'RESULTS' named entity 'TEMPORAL' named entity 'CONTRIBUTE ' named entity 'TEXT-MINING' named entity 'CASE DEFINITION' named entity 'RANDOM SAMPLE' named entity 'MAY BE' named entity 'DETERMINED' named entity 'DESCRIBED' named entity 'USED' named entity 'ANTIMICROBIAL' named entity 'PRACTICES' named entity 'ELECTRONIC MEDICAL RECORDS' named entity 'USE' named entity 'ABILITY' named entity 'IMPORTANT' named entity 'PRACTICES' named entity 'INFORMATICS' named entity 'CASES' named entity 'DIARRHEA' named entity 'COMPARED' named entity 'EVALUATED' named entity 'TREATED WITH' named entity 'INFORMATICS' named entity 'HOW' named entity 'USING' named entity 'UNDERSTAND' named entity 'PRESENTING' named entity 'ANTIMICROBIALS' named entity 'TEXT MINING' named entity 'OVERALL' named entity 'DIARRHEA' named entity 'ANTIMICROBIAL' named entity 'MONITORING' named entity 'SPECIFICITY' named entity 'ILLNESS' named entity 'DIAGNOSTIC TESTS' named entity 'IDENTIFY' named entity 'TRENDS' named entity 'COLLECTION' named entity 'PETS' named entity 'REVIEWER' named entity 'DIAGNOSTIC' named entity 'MINER' named entity 'BETTER' named entity 'ONGOING' named entity 'ANTIMICROBIAL RESISTANCE' named entity 'CASES' named entity 'PATTERNS' named entity 'DESCRIBE' named entity 'ANIMALS' named entity 'DATA' named entity 'STUDY' named entity 'USE OF' named entity 'EXTRACTED'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software