Modeling patient safety incidents knowledge with the Categorial Structure method.

Following the WHO initiative named World Alliance for Patient Safety (PS) launched in 2004 a conceptual framework developed by PS national reporting experts has summarized the knowledge available. As a second step, the Department of Public Health of the University of Saint Etienne team elaborated a Categorial Structure (a semi formal structure not related to an upper level ontology) identifying the elements of the semantic structure underpinning the broad concepts contained in the framework for patient safety. This knowledge engineering method has been developed to enable modeling patient safety information as a prerequisite for subsequent full ontology development. The present article describes the semantic dissection of the concepts, the elicitation of the ontology requirements and the domain constraints of the conceptual framework. This ontology includes 134 concepts and 25 distinct relations and will serve as basis for an Information Model for Patient Safety.

[1]  Christel Daniel-Le Bozec,et al.  The DebugIT Core Ontology: semantic integration of antibiotics resistance patterns , 2010, MedInfo.

[2]  A. Rossi Mori,et al.  Standards to Support Development of Terminological Systems for Healthcare Telematics , 1998, Methods of Information in Medicine.

[3]  Pierre Lewalle,et al.  Towards an International Classification for Patient Safety: a Delphi survey , 2009, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[4]  Cédric Bousquet,et al.  Using the CEN/ISO Standard for Categorial Structure to Harmonise the , 2009, MIE.

[5]  Cédric Bousquet,et al.  Standards and Biomedical Terminologies: the CEN TC 251 and ISO TC 215 Categorial Structures. A step towards increased interoperability , 2008, MIE.

[6]  J. Loeb,et al.  The JCAHO patient safety event taxonomy: a standardized terminology and classification schema for near misses and adverse events. , 2005, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[7]  Michele Carenini,et al.  ReMINE: an ontology-based risk management platform. , 2009, Studies in health technology and informatics.

[8]  Csongor Nyulas,et al.  Supporting the Collaborative Authoring of ICD-11 with WebProtégé. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[9]  W Ceusters,et al.  An Evolutionary Approach to Realism-based Adverse Event Representations , 2010, Methods of Information in Medicine.

[10]  R. Thomson,et al.  Towards an International Classification for Patient Safety: key concepts and terms , 2009, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[11]  Christel Daniel-Le Bozec,et al.  Is the "International Classification for Patient Safety" a Classification? , 2009, MIE.

[12]  N. Maglaveras,et al.  Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.