Uncovering Complex Relations in Patient Pathways based on Statistics: the Impact of Clinical Actions

dc.contributor.author Koorn, Jelmer Jan
dc.contributor.author Lu, Xixi
dc.contributor.author Mannhardt, Felix
dc.contributor.author Leopold, Henrik
dc.contributor.author Alexander Reijers, Hajo
dc.date.accessioned 2021-12-24T17:56:12Z
dc.date.available 2021-12-24T17:56:12Z
dc.date.issued 2022-01-04
dc.description.abstract Process mining is a family of techniques that can aid healthcare organizations in improving their processes. Most existing process mining techniques do not provide insights into the impact that activities can have on the process. Some novel techniques try to address this issue, but these techniques are either not generic in their approach or cannot provide insights into complex relations in organizational processes. We propose a novel and generic approach with the goal of producing insights into statistical relations within healthcare processes. We apply the approach on a public data set on sepsis in an emergency room. We find that the hospital might optimize its process in two respects: (1) their cost-benefit balance for patient care by considering their activities in terms of continuous monitoring and substance administration, and (2) their policies on discharging patients as to ensure patients are not discharged too early and return to the emergency room.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.503
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79839
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Process Mining in Healthcare
dc.subject healthcare
dc.subject process mining
dc.subject statistical relations
dc.title Uncovering Complex Relations in Patient Pathways based on Statistics: the Impact of Clinical Actions
dc.type.dcmi text
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
487.78 KB
Adobe Portable Document Format