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dc.contributor.authorPerimal-Lewis, Lua
dc.contributor.authorQin, Shaowen
dc.contributor.authorThompson, Campbell Henry
dc.contributor.authorHakendorf, Paul Haylett
dc.date.accessioned2013-04-29T00:11:54Z
dc.date.available2013-04-29T00:11:54Z
dc.date.issued2012
dc.identifier.citationPerimal-Lewis, L., Qin, S., Thompson, C. and Hakendorf, P., 2012. Gaining insight from patient journey data using process-oriented analysis approach. In K. Butler-Henderson and K. Gray, (Eds.) 5th Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2012), Melbourne, Australia. CRPIT, vol. 129, 59-66.en
dc.identifier.issn1445-1336
dc.identifier.urihttp://hdl.handle.net/2328/26695
dc.description.abstractHospitals are continually struggling to cater for the increasing demand for inpatient services. This is due to increased population, aging, and the rising incidence of chronic diseases associated with modern life. The high demand for hospital services leads to unpredictable bed availability, longer waiting period for acute admission, difficulties in keeping planned admission, stressed hospital staff, undesirable patient and family experience, as well as unclear long term impact on health care capacity. This study aims to derive some correlation between various factors contributing to ward occupancy rate and operation efficiency. The aim is also to discover the inpatient flow process model proposing to use process mining techniques combined with data analysis to depict the relationships among inpatients, wards and Length of Stay (LOS) in an effort to gain insight into factors that could be focused to relieve access block. Open source process mining software - ProM is used for this study. The study is done in collaboration with Flinders Medical Centre (FMC) using data from their Patient Journey Database as case study.en
dc.language.isoen
dc.publisherAustralian Computer Societyen
dc.subjectMathematicsen
dc.subjectProcess miningen
dc.subjectHospital inpatientsen
dc.subjectWard occupancyen
dc.titleGaining insight from patient journey data using process-oriented analysis approachen
dc.typeArticleen
local.contributor.authorOrcidLookupPerimal-Lewis, Lua: https://orcid.org/0000-0001-7498-2156en_US
local.contributor.authorOrcidLookupQin, Shaowen: https://orcid.org/0000-0002-3591-4959en_US


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