Mannhardt, Felix (2017): Hospital Billing - Event Log. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:76c46b83-c930-4798-a1c9-4be94dfeb741

Dataset

• Business and Management

000 Computer science, knowledge & systems, Billing process, Event log, Hospital, IEEE Task Force on Process Mining, Process mining, real life event logs

2012-12-13T10:13:18+01:00 / 2016-01-19T08:58:56+01:00

4TU General Terms of Use

• Supporting data for "Improving process discovery by filtering noise logs based on event dependency"

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Felix Mannhardt

The 'Hospital Billing' event log was obtained from the financial modules of the ERP system of a regional hospital. The event log contains events that are related to the billing of medical services that have been provided by the hospital. Each trace of the event log records the activities executed to bill a package of medical services that were bundled together. The event log does not contain information about the actual medical services provided by the hospital. The 100,000 traces in the event log are a random sample of process instances that were recorded over three years. Several attributes such as the 'state' of the process, the 'caseType', the underlying 'diagnosis' etc. are included in the event log. Events and attribute values have been anonymized. The time stamps of events have been randomized for this purpose, but the time between events within a trace has not been altered. More information about the event log can be found in the related publications.

• 2017-08-01 first online, published, posted

Eindhoven University of Technology

media types: application/x-gzip, text/plain, text/xml

• https://doi.org/10.1007/978-3-319-59536-8_34

Eindhoven University of Technology, Department of Mathematics and Computer Science