Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27679
Title: Using indoor location system data to enhance the quality of healthcare event logs: opportunities and challenges
Authors: MARTIN, Niels 
Issue Date: 2019
Publisher: Springer
Source: 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
Series/Report: Lecture Notes in Business Information Processing
Series/Report no.: 342
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.
Keywords: Event log; Data quality; Hospital information systems; Indoor location systems data; Process mining
Document URI: http://hdl.handle.net/1942/27679
ISBN: 9783030116408
DOI: 10.1007/978-3-030-11641-5_18
Category: C1
Type: Proceedings Paper
Validations: vabb 2021
Appears in Collections:Research publications

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