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dc.contributor.authorWickramasinghe, Nilmini-
dc.contributor.editorWickramasinghe, Nilmini-
dc.contributor.editorAl-Hakim, Latif-
dc.contributor.editorGonzalez, Chris-
dc.contributor.editorTan, J.-
dc.contributor.otherGoldberg, S.-
dc.contributor.otherChalasani, Suresh-
dc.identifier.citationpp. 315-330en_US
dc.description.abstractChronic diseases are increasing exponentially and by their very nature and definition mean that no cure is in sight. One such chronic disease is diabetes. The WHO has described diabetes as a silent epidemic given the current number of sufferers and future projections of increased number of individuals who are expected to contract diabetes. While globally the numbers of diabetic sufferers are alarming, in some segments of the community there is significant overrepresentation due to many factors including ineffective and inefficient healthcare delivery processes. The following proffers a disruptive, pervasive technology solution as a way to not only facilitate superior care for diabetic patients but also enable needed healthcare delivery process redesign. An earlier version of this material was presented at the 2011 HICSS conference, 4–7 Jan, Kuai, Hawaii.en_US
dc.relation.ispartofseriesHealthcare Delivery in the Information Age-
dc.subjectHealthcare Information Systemsen_US
dc.subjectPervasive Technologyen_US
dc.subjectKnowledge Managementen_US
dc.subjectProcess Redesignen_US
dc.subjectNative American Healthcareen_US
dc.subjectChair of Health Informatics Management, Epworth HealthCare, Victoria, Australia-
dc.titleThe role of a disruptive pervasive technology solution to facilitate better healthcare delivery to native American patients.en_US
dc.description.affiliatesDepartment of BITL & HIRi, RMIT University, Melbourne, Australiaen_US
dc.description.affiliatesINET International Canada, Thornhill, Canadaen_US
dc.description.affiliatesMIS Department, School of Business and Technology, University of Wisconsin-ParksideKenosha, USAen_US
dc.title.bookLean thinking for healthcare.en_US
Appears in Collections:Health Informatics

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