Information Overload in Telemedicine: Using Complex Event Processing and Context for Intelligent Information Filtering and Supply

Abstract Today's central issues in the healthcare supply make it imperative to develop new concepts to reduce the emerging costs and ensure high quality standards. Applying information and communication technology (ICT) and especially telemedicine – technologies that offer the chance to optimize medical data transfer – is regarded as the promising strategy, when developing cost saving concepts. As a result, physicians, as recipients of medical data, are confronted with a growing amount of information, called information overload. Therefore information has to be transported according to the principles of information logistics (ILOG). This paper presents preliminary results of a new approach to use complex event processing (CEP) as a vehicle for information logistics processing termed as Telemedical ILOG Listener (TIL) using context to specify the users’ information need. Every telemedical value, like for instance blood-pressure, has to be described as a telemedical event on the basis of HL7 V3, a widespread international standard for data exchange in the healthcare sector. We will define a message type which is able to include the medical data, data necessary for CEP, context and at least data to represent the dimension of ILOG, so it can be processed by a TIL.

[1]  Stephen B. Johnson,et al.  Design of a clinical event monitor. , 1996, Computers and biomedical research, an international journal.

[2]  Thorsten Löffeler,et al.  The Information Logistics Approach Toward User Demand-Driven Information Supply , 2003 .

[3]  G. Walton,et al.  Information overload within the health care system: a literature review. , 2004, Health information and libraries journal.

[4]  Jean Bacon,et al.  Using events for the scalable federation of heterogeneous components , 1998, ACM SIGOPS European Workshop.

[5]  K. Mani Chandy,et al.  10201 Executive Summary and Manifesto - Event Processing , 2010, Event Processing.

[7]  T. D. Wilson,et al.  Information overload: implications for healthcare services , 2001 .

[8]  Dean F Sittig,et al.  Application of Information Technology j MediClass : A System for Detecting and Classifying Encounter-based Clinical Events in Any Electronic Medical , 2005 .

[9]  K. Mani Chandy,et al.  Towards a theory of events , 2007, DEBS '07.

[10]  David W. Bates,et al.  Research Paper: KnowledgeLink: Impact of Context-Sensitive Information Retrieval on Clinicians' Information Needs , 2006, J. Am. Medical Informatics Assoc..

[11]  Susan C. Weber,et al.  STRIDE - An Integrated Standards-Based Translational Research Informatics Platform , 2009, AMIA.

[12]  Richard G. Newman,et al.  Medical Knowledge Overload: A Disturbing Trend for Physicians , 1997, Health care management review.

[13]  J. Wyatt,et al.  INFORMATION FOR CLINICIANS Use and sources of medical knowledge , 1991, The Lancet.

[14]  Maurice B. Line.  Draft definitions: Information and library needs, wants, demands and uses , 1974 .

[15]  Samir El-Masri,et al.  A survey of agent-based intelligent decision support systems to support clinical management and research , 2005, AAMAS 2005.

[16]  Oliver Koch,et al.  Using Context to Improve Information Supply in the Medical Sector , 2010, BIS.