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http://hdl.handle.net/1942/27679
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DC Field | Value | Language |
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dc.contributor.author | MARTIN, Niels | - |
dc.date.accessioned | 2019-02-07T14:38:07Z | - |
dc.date.available | 2019-02-07T14:38:07Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | 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 | - |
dc.identifier.isbn | 9783030116408 | - |
dc.identifier.issn | 1865-1348 | - |
dc.identifier.uri | http://hdl.handle.net/1942/27679 | - |
dc.description.abstract | Hospitals 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.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture Notes in Business Information Processing | - |
dc.subject.other | Event log; Data quality; Hospital information systems; Indoor location systems data; Process mining | - |
dc.title | Using indoor location system data to enhance the quality of healthcare event logs: opportunities and challenges | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Daniel, Florian | - |
local.bibliographicCitation.authors | Sheng, Quan Z. | - |
local.bibliographicCitation.authors | Motahari, Hamid | - |
local.bibliographicCitation.conferencedate | September 10, 2018 | - |
local.bibliographicCitation.conferencename | First International Workshop on Process-Oriented Data Science for Health Care (PODS4H) | - |
local.bibliographicCitation.conferenceplace | Sydney | - |
dc.identifier.epage | 238 | - |
dc.identifier.spage | 226 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 342 | - |
dc.identifier.doi | 10.1007/978-3-030-11641-5_18 | - |
local.bibliographicCitation.btitle | Business Process Management Workshops: BPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers | - |
local.uhasselt.international | no | - |
item.accessRights | Restricted Access | - |
item.contributor | MARTIN, Niels | - |
item.fullcitation | MARTIN, 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.validation | vabb 2021 | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Martin - 2019 - Using indoor location system data to enhance the quality of healthcare event logs opportunities and challenges.pdf Restricted Access | Peer-reviewed author version | 211.12 kB | Adobe PDF | View/Open Request a copy |
Pages from 978-3-030-11641-5.pdf Restricted Access | Published version | 269.98 kB | Adobe PDF | View/Open Request a copy |
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