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dc.contributor.authorDemir, Eren
dc.identifier.citationDemir , E 2009 , A systematic approach in defining readmission . in Procs 22nd IEEE Int Symposium on Computer Based Medical Systems : CBMS 2009 . IEEE , pp. 1-7 .
dc.identifier.otherPURE: 682579
dc.identifier.otherPURE UUID: cb05ebd8-8f3d-41b0-9b51-5466a83c8bdc
dc.identifier.otherScopus: 70449652430
dc.description.abstractIn the majority of studies on hospital readmissions, a readmission is deemed to have occurred if a patient is admitted within a time window of the previous discharge date. However, these time windows have rarely been objectively justified. This paper develops a framework to determine the optimal time window in defining patient readmissions. First, we capture the readmission process by fitting a special case of a Coxian phase-type distribution, which is expressed as a mixture of two generalized Erlang distributions. Second, we apply the minimum classification error approach to compute the optimal time window. Using the English national hospital episodes statistic (HES) dataset, we demonstrate the usefulness of the approach in the case of chronic obstructive pulmonary disease (COPD), stroke, congestive heart failure (CHF), and clinical conditions associated with hip and thigh fractured patients.en
dc.relation.ispartofProcs 22nd IEEE Int Symposium on Computer Based Medical Systems
dc.titleA systematic approach in defining readmissionen
dc.contributor.institutionStatistical Services Consulting Unit
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionSocial Sciences, Arts & Humanities Research Institute
dc.contributor.institutionHealth Services and Medicine
dc.contributor.institutionCentre for Research on Management, Economy and Society
dc.contributor.institutionDepartment of Marketing and Enterprise

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