Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare

Eduardo González López de Murillas, Emmanuel Helm, Hajo A. Reijers, Josef Küng

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

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
Original languageEnglish
Title of host publicationInformation Technology in Bio- and Medical Informatics ,International Conference on Information Technology in Bio- and Medical Informatics ITBAM 2017
PublisherSpringer
Pages82-91
Number of pages10
Volume10443
Publication statusPublished - Jul 2017

Publication series

NameLecture Notes in Computer Science (LNCS)

Fields of science

  • 102001 Artificial intelligence
  • 102015 Information systems
  • 102033 Data mining
  • 305905 Medical informatics

JKU Focus areas

  • Computation in Informatics and Mathematics

Cite this