Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27679
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dc.contributor.authorMARTIN, Niels-
dc.date.accessioned2019-02-07T14:38:07Z-
dc.date.available2019-02-07T14:38:07Z-
dc.date.issued2019-
dc.identifier.citationDaniel, Florian; Sheng, Quan Z.; Motahari, Hamid (Ed.). Business Process Management Workshops: BPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers, Springer,p. 226-238-
dc.identifier.isbn9783030116408-
dc.identifier.issn1865-1348-
dc.identifier.urihttp://hdl.handle.net/1942/27679-
dc.description.abstractHospitals are becoming more and more aware of the need to manage their business processes. In this respect, process mining is increasingly used to gain insight in healthcare processes, requiring the analysis of event logs originating from the hospital information system. Process mining research mainly focuses on the development of new techniques or the application of existing methods, but the quality of all analyses ultimately depends on the quality of the event log. However, limited research has been done on the improvement of data quality in the process mining field, which is the topic of this paper. In particular, this paper discusses, from a conceptual angle, the opportunities that indoor location system data provides to tackle event log data quality issues. Moreover, the paper reflects upon the associated challenges. In this way, it provides the conceptualization for a new area of research, focusing on the systematic integration of an event log with indoor location system data.-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture Notes in Business Information Processing-
dc.subject.otherEvent log; Data quality; Hospital information systems; Indoor location systems data; Process mining-
dc.titleUsing indoor location system data to enhance the quality of healthcare event logs: opportunities and challenges-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsDaniel, Florian-
local.bibliographicCitation.authorsSheng, Quan Z.-
local.bibliographicCitation.authorsMotahari, Hamid-
local.bibliographicCitation.conferencedateSeptember 10, 2018-
local.bibliographicCitation.conferencenameFirst International Workshop on Process-Oriented Data Science for Health Care (PODS4H)-
local.bibliographicCitation.conferenceplaceSydney-
dc.identifier.epage238-
dc.identifier.spage226-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr342-
dc.identifier.doi10.1007/978-3-030-11641-5_18-
local.bibliographicCitation.btitleBusiness Process Management Workshops: BPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers-
local.uhasselt.internationalno-
item.accessRightsRestricted Access-
item.fullcitationMARTIN, Niels (2019) Using indoor location system data to enhance the quality of healthcare event logs: opportunities and challenges. In: Daniel, Florian; Sheng, Quan Z.; Motahari, Hamid (Ed.). Business Process Management Workshops: BPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers, Springer,p. 226-238.-
item.fulltextWith Fulltext-
item.validationvabb 2021-
item.contributorMARTIN, Niels-
Appears in Collections:Research publications
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