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

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.

[1]  Arie Hasman,et al.  Design and implementation of a framework to support the development of clinical guidelines , 2001, Int. J. Medical Informatics.

[2]  George Hripcsak,et al.  Detecting adverse events for patient safety research: a review of current methodologies , 2003, J. Biomed. Informatics.

[3]  D. Bates,et al.  Adverse drug events and medication errors: detection and classification methods , 2004, Quality and Safety in Health Care.

[4]  Velma L. Payne,et al.  Hospital care watch (HCW): an ontology and rule-based intelligent patient management assistant , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

[5]  Patrice Degoulet,et al.  Implementation of automated signal generation in pharmacovigilance using a knowledge-based approach , 2005, Int. J. Medical Informatics.

[6]  Antoni Ligęza,et al.  Logical Foundations for Rule-Based Systems , 2006 .

[7]  Antoni Ligeza Logical Foundations for Rule-Based Systems, 2nd Ed , 2006, Studies in Computational Intelligence.

[8]  Susie Stephens,et al.  Applying semantic Web technologies to drug safety determination , 2006, IEEE Intelligent Systems.

[9]  Katharina Kaiser,et al.  Computer-interpretable Guideline Formalisms , 2008, Computer-based Medical Guidelines and Protocols.

[10]  Cédric Bousquet,et al.  Mining for Adverse Drug Events with Formal Concept Analysis , 2009, MIE.

[11]  Régis Beuscart,et al.  Data-Mining-Based Detection of Adverse Drug Events , 2009, MIE.

[12]  R. Beuscart,et al.  Detection of adverse drug events: proposal of a data model. , 2009, Studies in health technology and informatics.

[13]  I. Chouvarda,et al.  A knowledge engineering framework towards clinical support for adverse drug event prevention: the PSIP approach. , 2009, Studies in health technology and informatics.