Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42944
Full metadata record
DC FieldValueLanguage
dc.contributor.authorClaus, Ruben-
dc.contributor.authorMARTIN, Niels-
dc.contributor.authorJanssen, Esther R. C.-
dc.contributor.authorJANSSENSWILLEN, Gert-
dc.contributor.authorBoymans, Tim A. E. J.-
dc.contributor.authorVanwersch, Rob J. B.-
dc.date.accessioned2024-05-14T13:38:25Z-
dc.date.available2024-05-14T13:38:25Z-
dc.date.issued2024-
dc.date.submitted2024-04-16T12:19:25Z-
dc.identifier.citationDe Smedt, Johannes; Soffer, Pnina (Ed.). Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers, Springer, p. 211 -222-
dc.identifier.isbn978-3-031-56106-1-
dc.identifier.isbn978-3-031-56107-8-
dc.identifier.issn1865-1348-
dc.identifier.issn1865-1356-
dc.identifier.urihttp://hdl.handle.net/1942/42944-
dc.description.abstractMusculoskeletal disorders (MSDs) reduce a person's mobility and are a worldwide problem. The optimal care for MSDs implies that various healthcare providers, such as hospitals and physiotherapists, collaborate. Moreover, in order to shape the optimal care for MSD patients, their medical and personal background should be considered. Research has shown that care consumption can differ among patients depending on their socioeconomic status. In order to explore the influence of the socioeconomic status of patients on their MSD treatment trajectory, data from the Beweeghuis care network for MSDs is analyzed using process mining. The exploratory process mining analysis only highlights minor differences between socioeconomic status groups. The findings need to be reflected against the prevailing data-related limitations, showing the clear need for follow-up research.-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture Notes in Business Information Processing-
dc.titleUsing Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders – A Case Study-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsDe Smedt, Johannes-
local.bibliographicCitation.authorsSoffer, Pnina-
dc.identifier.epage222-
dc.identifier.spage211-
dc.identifier.volume503-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr503-
dc.identifier.doi10.1007/978-3-031-56107-8_16-
dc.identifier.eissn1865-1356-
local.provider.typeCrossRef-
local.bibliographicCitation.btitleProcess Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers-
local.uhasselt.internationalyes-
item.fullcitationClaus, Ruben; MARTIN, Niels; Janssen, Esther R. C.; JANSSENSWILLEN, Gert; Boymans, Tim A. E. J. & Vanwersch, Rob J. B. (2024) Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders – A Case Study. In: De Smedt, Johannes; Soffer, Pnina (Ed.). Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers, Springer, p. 211 -222.-
item.fulltextWith Fulltext-
item.contributorClaus, Ruben-
item.contributorMARTIN, Niels-
item.contributorJanssen, Esther R. C.-
item.contributorJANSSENSWILLEN, Gert-
item.contributorBoymans, Tim A. E. J.-
item.contributorVanwersch, Rob J. B.-
item.accessRightsRestricted Access-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Pages from 978-3-031-56107-8.pdf
  Restricted Access
Published version240.98 kBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.