Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1409
Title: Creating knowledge-driven healthcare processes with the intelligence continuum.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Schaffer, Jonathan
Keywords: Knowledge Management
KM
Business Intelligence
Clinical Outcomes
Clinical Practice
Administrative Management
Business Process Reengineering
BPR
E-Healthcare
Electronic Healthcare
Data Mining
Intelligence Continuum
Healthcare Data
Medical Data
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2006
Publisher: Inderscience
Citation: Int J Electron Healthc. 2006;2(2):164-74
Abstract: Medical science has made revolutionary changes in the past few decades. Contemporaneously, however, healthcare has made incremental changes at best. One area within healthcare that best exemplifies this is the operating room (OR). The growing discrepancy between the revolutionary changes in medicine and the minimal changes in healthcare processes leads to inefficient and ineffective healthcare deliver and one if not the significant contributor to the exponentially increasing costs plaguing healthcare globally. Significant quantities of data and information permeate the healthcare industry, yet the healthcare industry has not maximised this data resource by fully embracing key business management processes or techniques (such as Knowledge Management (KM), data mining, Business Intelligence (BI) or Business Analytics (BA)) to capitalise on realising the full value of this data/information resource to reengineer processes. The Intelligence Continuum (IC), a Mobius strip of sophisticated tools, techniques and process provides a systematic mechanism for healthcare organisations to facilitate superior clinical practice and administrative management. In this paper, the case example of the orthopaedic OR is used to illustrate the power of the IC in effecting more efficient and effective healthcare processes to ensue and thereby enabling healthcare to make evolutionary changes.
URI: http://hdl.handle.net/11434/1409
DOI: 0.1504/IJEH.2006.008830
PubMed URL: https://www.ncbi.nlm.nih.gov/pubmed/18048242
ISSN: 1741-8461
1741-8453
Journal Title: International Journal of Electronic Healthcare`
Type: Journal Article
Affiliated Organisations: Stuart Graduate School of Business, Illinois Institute of Technology, Chicago, IL 60661, USA
Department of Orthopedic Surgery, The Cleveland Clinic, 9500 Euclid Ave, Desk A41, USA
Appears in Collections:Health Informatics

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