Literature DB >> 21347009

Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

Vassilis Koutkias1, Vassilis Kilintzis, George Stalidis, Katerina Lazou, Chrysa Collyda, Emmanuel Chazard, Peter McNair, Regis Beuscart, Nicos Maglaveras.   

Abstract

A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.

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Year:  2010        PMID: 21347009      PMCID: PMC3041377     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  10 in total

1.  Design and implementation of a framework to support the development of clinical guidelines.

Authors:  P A de Clercq; A Hasman; J A Blom; H H Korsten
Journal:  Int J Med Inform       Date:  2001-12       Impact factor: 4.046

Review 2.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

3.  Implementation of automated signal generation in pharmacovigilance using a knowledge-based approach.

Authors:  Cédric Bousquet; Corneliu Henegar; Agnès Lillo-Le Louët; Patrice Degoulet; Marie-Christine Jaulent
Journal:  Int J Med Inform       Date:  2005-08       Impact factor: 4.046

4.  Mining for adverse drug events with formal concept analysis.

Authors:  Alexander Estacio-Moreno; Yannick Toussaint; Cédric Bousquet
Journal:  Stud Health Technol Inform       Date:  2008

5.  Data-mining-based detection of adverse drug events.

Authors:  Emmanuel Chazard; Cristian Preda; Béatrice Merlin; Grégoire Ficheur; Régis Beuscart
Journal:  Stud Health Technol Inform       Date:  2009

6.  Detection of adverse drug events: proposal of a data model.

Authors:  Emmanuel Chazard; Béatrice Merlin; Grégoire Ficheur; Jean-Charles Sarfati; Régis Beuscart
Journal:  Stud Health Technol Inform       Date:  2009

Review 7.  Detecting adverse events for patient safety research: a review of current methodologies.

Authors:  Harvey J Murff; Vimla L Patel; George Hripcsak; David W Bates
Journal:  J Biomed Inform       Date:  2003 Feb-Apr       Impact factor: 6.317

8.  Adverse drug events and medication errors: detection and classification methods.

Authors:  T Morimoto; T K Gandhi; A C Seger; T C Hsieh; D W Bates
Journal:  Qual Saf Health Care       Date:  2004-08

9.  A knowledge engineering framework towards clinical support for adverse drug event prevention: the PSIP approach.

Authors:  Vassilis Koutkias; George Stalidis; Ioanna Chouvarda; Katerina Lazou; Vassilis Kilintzis; Nicos Maglaveras
Journal:  Stud Health Technol Inform       Date:  2009

10.  Computer-Interpretable Guideline formalisms.

Authors:  Paul De Clercq; Katharina Kaiser; Arie Hasman
Journal:  Stud Health Technol Inform       Date:  2008
  10 in total
  2 in total

1.  Modeling patient safety incidents knowledge with the Categorial Structure method.

Authors:  Julien Souvignet; Cédric Bousquet; Pierre Lewalle; Béatrice Trombert-Paviot; Jean Marie Rodrigues
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Adverse drug events with hyperkalaemia during inpatient stays: evaluation of an automated method for retrospective detection in hospital databases.

Authors:  Grégoire Ficheur; Emmanuel Chazard; Jean-Baptiste Beuscart; Béatrice Merlin; Michel Luyckx; Régis Beuscart
Journal:  BMC Med Inform Decis Mak       Date:  2014-09-12       Impact factor: 2.796

  2 in total

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