Assisted knowledge discovery for the maintenance of clinical guidelines.

Assisted knowledge discovery for the maintenance of clinical guidelines.

<h4>Background</h4>Improving antibiotic prescribing practices is an important public-health priority given the widespread antimicrobial resistance. Establishing clinical practice guidelines is crucial to this effort, but their development is a complex task and their quality is directly r...

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Autores principales: Emilie Pasche, Patrick Ruch, Douglas Teodoro, Angela Huttner, Stephan Harbarth, Julien Gobeill, Rolf Wipfli, Christian Lovis
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/513b880158c54c0f869f13a0131e60cf
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spelling oai:doaj.org-article:513b880158c54c0f869f13a0131e60cf2021-11-18T07:47:22ZAssisted knowledge discovery for the maintenance of clinical guidelines.1932-620310.1371/journal.pone.0062874https://doaj.org/article/513b880158c54c0f869f13a0131e60cf2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23646153/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Improving antibiotic prescribing practices is an important public-health priority given the widespread antimicrobial resistance. Establishing clinical practice guidelines is crucial to this effort, but their development is a complex task and their quality is directly related to the methodology and source of knowledge used.<h4>Objective</h4>We present the design and the evaluation of a tool (KART) that aims to facilitate the creation and maintenance of clinical practice guidelines based on information retrieval techniques.<h4>Methods</h4>KART consists of three main modules 1) a literature-based medical knowledge extraction module, which is built upon a specialized question-answering engine; 2) a module to normalize clinical recommendations based on automatic text categorizers; and 3) a module to manage clinical knowledge, which formalizes and stores clinical recommendations for further use. The evaluation of the usability and utility of KART followed the methodology of the cognitive walkthrough.<h4>Results</h4>KART was designed and implemented as a standalone web application. The quantitative evaluation of the medical knowledge extraction module showed that 53% of the clinical recommendations generated by KART are consistent with existing clinical guidelines. The user-based evaluation confirmed this result by showing that KART was able to find a relevant antibiotic for half of the clinical scenarios tested. The automatic normalization of the recommendation produced mixed results among end-users.<h4>Conclusions</h4>We have developed an innovative approach for the process of clinical guidelines development and maintenance in a context where available knowledge is increasing at a rate that cannot be sustained by humans. In contrast to existing knowledge authoring tools, KART not only provides assistance to normalize, formalize and store clinical recommendations, but also aims to facilitate knowledge building.Emilie PaschePatrick RuchDouglas TeodoroAngela HuttnerStephan HarbarthJulien GobeillRolf WipfliChristian LovisPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 4, p e62874 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Emilie Pasche
Patrick Ruch
Douglas Teodoro
Angela Huttner
Stephan Harbarth
Julien Gobeill
Rolf Wipfli
Christian Lovis
Assisted knowledge discovery for the maintenance of clinical guidelines.
description <h4>Background</h4>Improving antibiotic prescribing practices is an important public-health priority given the widespread antimicrobial resistance. Establishing clinical practice guidelines is crucial to this effort, but their development is a complex task and their quality is directly related to the methodology and source of knowledge used.<h4>Objective</h4>We present the design and the evaluation of a tool (KART) that aims to facilitate the creation and maintenance of clinical practice guidelines based on information retrieval techniques.<h4>Methods</h4>KART consists of three main modules 1) a literature-based medical knowledge extraction module, which is built upon a specialized question-answering engine; 2) a module to normalize clinical recommendations based on automatic text categorizers; and 3) a module to manage clinical knowledge, which formalizes and stores clinical recommendations for further use. The evaluation of the usability and utility of KART followed the methodology of the cognitive walkthrough.<h4>Results</h4>KART was designed and implemented as a standalone web application. The quantitative evaluation of the medical knowledge extraction module showed that 53% of the clinical recommendations generated by KART are consistent with existing clinical guidelines. The user-based evaluation confirmed this result by showing that KART was able to find a relevant antibiotic for half of the clinical scenarios tested. The automatic normalization of the recommendation produced mixed results among end-users.<h4>Conclusions</h4>We have developed an innovative approach for the process of clinical guidelines development and maintenance in a context where available knowledge is increasing at a rate that cannot be sustained by humans. In contrast to existing knowledge authoring tools, KART not only provides assistance to normalize, formalize and store clinical recommendations, but also aims to facilitate knowledge building.
format article
author Emilie Pasche
Patrick Ruch
Douglas Teodoro
Angela Huttner
Stephan Harbarth
Julien Gobeill
Rolf Wipfli
Christian Lovis
author_facet Emilie Pasche
Patrick Ruch
Douglas Teodoro
Angela Huttner
Stephan Harbarth
Julien Gobeill
Rolf Wipfli
Christian Lovis
author_sort Emilie Pasche
title Assisted knowledge discovery for the maintenance of clinical guidelines.
title_short Assisted knowledge discovery for the maintenance of clinical guidelines.
title_full Assisted knowledge discovery for the maintenance of clinical guidelines.
title_fullStr Assisted knowledge discovery for the maintenance of clinical guidelines.
title_full_unstemmed Assisted knowledge discovery for the maintenance of clinical guidelines.
title_sort assisted knowledge discovery for the maintenance of clinical guidelines.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/513b880158c54c0f869f13a0131e60cf
work_keys_str_mv AT emiliepasche assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT patrickruch assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT douglasteodoro assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT angelahuttner assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT stephanharbarth assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT juliengobeill assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT rolfwipfli assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
AT christianlovis assistedknowledgediscoveryforthemaintenanceofclinicalguidelines
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