The Role of Domain Ontology for Medical Emergency Management in Mass Gatherings

Mass gatherings are common events that typically attract large crowds of people. If such events are not properly planned, coordinated and managed with regard to health and safety issues, they can become hazardous and lead to injuries, illnesses and deaths. Conducting a safe and successful mass gathering event requires effective planning and management including the provision of timely medical care and response. To achieve these goals, there is a need for a unifying and formal model/framework of mass gatherings that can be applied across all the emergency agencies and events, and used in support of time-critical decision making for medical emergency management in this context. However, the absence of a common knowledge structure and conceptual model in Medical Emergency Management in Mass Gathering (MEMMG), acknowledged in the literature, limits our understanding of such events and impedes the effectiveness of decision support systems in these environments. In this paper, we propose domain ontology for MEMMG that represents main concepts of mass gatherings and their characteristics and relationships in a standard and formal manner. The proposed domain ontology is an instantiation and extension of DOEM (Domain Ontology for Emergency Management) that represents major generic concepts in the emergency management and can be used as information structure for the development of various emergency management decision support systems. We illustrate application of such an ontology to the classical Intelligence-Design-Choice-Implementation decision support model.

[1]  Yuval Shahar,et al.  Synthesis of Research: EON: A Component-Based Approach to Automation of Protocol-Directed Therapy , 1996, J. Am. Medical Informatics Assoc..

[2]  Marta Indulska,et al.  Towards an enhanced methodology for ontological analyses , 2004 .

[3]  Marvin L. Birnbaum,et al.  Health Disaster Management Guidelines for Evaluation and Research in the Utstein Style , 1999, Prehospital and Disaster Medicine.

[4]  Frada Burstein,et al.  Quality of data model for supporting mobile decision making , 2007, Decis. Support Syst..

[5]  Syohei Ishizu,et al.  ONTOLOGY-DRIVEN DECISION SUPPORT SYSTEMS FOR MANAGEMENT SYSTEM AUDIT , 2008 .

[6]  Miquel Sànchez-Marrè,et al.  OntoWEDSS: augmenting environmental decision-support systems with ontologies , 2004, Environ. Model. Softw..

[7]  Harry Chen,et al.  Using OWL in a Pervasive Computing Broker , 2003, OAS.

[8]  Ron Weber,et al.  Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda , 2002, Inf. Syst. Res..

[9]  Leonid Churilov,et al.  Application of Domain Ontology for Decision Support in Medical Emergency Coordination , 2008, AMCIS.

[10]  C. Zeitz,et al.  Crowd Behavior at Mass Gatherings: A Literature Review , 2009, Prehospital and Disaster Medicine.

[11]  John G. Gammack,et al.  Ontology Development for Context-Sensitive Decision Support , 2007 .

[12]  Leonid Churilov,et al.  An Integrated Framework for Comprehensive Collaborative Emergency Management , 2008, CDM.

[13]  Dianne Hall,et al.  Building a Theoretical Foundation for a Learning-Oriented Knowledge Management System , 2003 .

[14]  Dale Dzemydiene,et al.  Ontology-Based Decision Support System for Crime Investigation Processes , 2005 .

[15]  Karol G. Ross,et al.  The Recognition-Primed Decision Model , 2004 .

[16]  G. Klein,et al.  A recognition-primed decision (RPD) model of rapid decision making. , 1993 .

[17]  Robert A. De Lorenzo,et al.  Mass gathering medicine: a review. , 1997 .

[18]  Alexander E. Berlonghi,et al.  Understanding and planning for different spectator crowds , 1995 .

[19]  David Jaslow,et al.  M ASS G ATHERING M EDICAL C ARE , 2000 .

[20]  Paul Arbon,et al.  The Development of Conceptual Models for Mass-Gathering Health , 2004, Prehospital and Disaster Medicine.

[21]  S J Parrillo Medical care at mass gatherings: considerations for physician involvement. , 1995, Prehospital and disaster medicine.

[22]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[23]  Tao Gu,et al.  Toward an OSGi-based infrastructure for context-aware applications , 2004, IEEE Pervasive Computing.

[24]  B. Maguire,et al.  Mass-Gathering Medical Care: A Review of the Literature , 2002, Prehospital and Disaster Medicine.

[25]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[26]  Paul Arbon,et al.  Mass-Gathering Medicine: A Review of the Evidence and Future Directions for Research , 2007, Prehospital and Disaster Medicine.

[27]  Sisi Zlatanova,et al.  Ontologies for Disaster Management Response , 2007 .

[28]  Maurizio Marchese,et al.  An Application of Approximate Ontology Matching in eResponse , 2008 .

[29]  Marko Grobelnik,et al.  A SURVEY OF ONTOLOGY EVALUATION TECHNIQUES , 2005 .