TY - GEN
T1 - Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare
AU - de Murillas, Eduardo González López
AU - Helm, Emmanuel
AU - Reijers, Hajo A.
AU - Küng, Josef
PY - 2017/7
Y1 - 2017/7
N2 - The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems’ Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain
AB - The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems’ Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain
M3 - Conference proceedings
VL - 10443
T3 - Lecture Notes in Computer Science (LNCS)
SP - 82
EP - 91
BT - Information Technology in Bio- and Medical Informatics ,International Conference on Information Technology in Bio- and Medical Informatics ITBAM 2017
PB - Springer
ER -