TY - GEN
T1 - Event log generation in a health system
T2 - 18th International Conference on Business Process Management, BPM 2020
AU - Remy, Simon
AU - Pufahl, Luise
AU - Sachs, Jan Philipp
AU - Böttinger, Erwin
AU - Weske, Mathias
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Process mining has recently gained considerable attention as a family of methods and tools that aim at discovering and analyzing business process executions. Process mining starts with event logs, i.e., ordered lists of performed activities. Since event data is typically not stored in a process-oriented way, event logs have to be generated first. Experience shows that event log generation takes a substantial effort in process mining projects. This case study reports on the experiences made during the event log generation from the real-world data warehouse of a large U.S. health system. As the focal point, the case study looks at activities and processes that are related to the treatment of low back pain. Guided by the main phases of event log generation, i.e., extraction, correlation, and abstraction, we report on challenges faced, solutions found, and lessons learned. The paper concludes with future research directions that have been derived from the lessons learned from the case study.
AB - Process mining has recently gained considerable attention as a family of methods and tools that aim at discovering and analyzing business process executions. Process mining starts with event logs, i.e., ordered lists of performed activities. Since event data is typically not stored in a process-oriented way, event logs have to be generated first. Experience shows that event log generation takes a substantial effort in process mining projects. This case study reports on the experiences made during the event log generation from the real-world data warehouse of a large U.S. health system. As the focal point, the case study looks at activities and processes that are related to the treatment of low back pain. Guided by the main phases of event log generation, i.e., extraction, correlation, and abstraction, we report on challenges faced, solutions found, and lessons learned. The paper concludes with future research directions that have been derived from the lessons learned from the case study.
KW - Case study
KW - Event log generation
KW - Healthcare
KW - Process mining
UR - https://www.scopus.com/pages/publications/85091282134
U2 - 10.1007/978-3-030-58666-9_29
DO - 10.1007/978-3-030-58666-9_29
M3 - Conference contribution
AN - SCOPUS:85091282134
SN - 9783030586652
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 505
EP - 522
BT - Business Process Management - 18th International Conference, BPM 2020, Proceedings
A2 - Fahland, Dirk
A2 - Ghidini, Chiara
A2 - Becker, Jörg
A2 - Dumas, Marlon
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 13 September 2020 through 18 September 2020
ER -