Designing intelligent healthcare operations

Authors:
Nilmini Wickramasinghe;Christian Guttmann;Jonathan Schaffer
Affiliations:
School of Business IT and Logistics, RMIT University, Melbourne, VIC, Australia;Monash University, Faculty of Medicine, Nursing and Health Sciences, School of Primary Health Care, Melbourne, Australia;Advanced Operative Technology Group, Orthopaedic and Rheumatologic Research Center, Cleveland Clinic, Cleveland, OH
Venue:
CARE@AI'09/CARE@IAT'10 Proceedings of the CARE@AI 2009 and CARE@IAT 2010 international conference on Collaborative agents - research and development
Year:
2009

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Abstract

Effective decision making is vital in all healthcare activities. While this decision making is typically complex and unstructured, it requires the decision maker to gather multi-spectral data and information in order to make an effective choice when faced with numerous options. Unstructured decision making in dynamic and complex environments is challenging and in almost every situation the decision maker is undoubtedly faced with information inferiority. The need for germane knowledge, pertinent information and relevant data are critical and hence the value of harnessing knowledge and embracing the tools, techniques, technologies and tactics of knowledge management are essential to ensuring efficiency and efficacy in the decision making process. The systematic approach and application of knowledge management (KM) principles and tools can provide the necessary foundation for improving the decision making processes in healthcare. The example of the orthopaedic operating room processes will illustrate the application of the integrated model to support effective decision making in the clinical environment.