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, Springer International Publishing AG, p. 226-238-
dc.identifier.isbn9783030116408-
dc.identifier.isbn978-3-030-11641-5-
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 International Publishing AG-
dc.relation.ispartofseriesLecture Notes in Business Information Processing-
dc.subject.otherEvent log-
dc.subject.otherData quality-
dc.subject.otherHospital information systems-
dc.subject.otherIndoor location systems data-
dc.subject.otherProcess 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.conferencedate2018, September 10-
local.bibliographicCitation.conferencename14th BPI International Workshop / 11th BPM Workshop / 1st PODS4H International Workshop / 1st AI4BPM International Workshop / 1st CCBPM International Workshop / 3rd PQ International Workshop / 2nd BP-meet-IoT International Workshop-
local.bibliographicCitation.conferenceplaceydney, AUSTRALIA-
dc.identifier.epage238-
dc.identifier.spage226-
dc.identifier.volume342-
local.bibliographicCitation.jcatC1-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr342-
dc.identifier.doi10.1007/978-3-030-11641-5_18-
dc.identifier.isi001288517800018-
local.provider.typeWeb of Science-
local.bibliographicCitation.btitleBusiness Process Management Workshops: BPM 2018 International Workshops-
local.uhasselt.internationalno-
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, Springer International Publishing AG, p. 226-238.-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.validationvabb 2021-
item.contributorMARTIN, Niels-
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