Towards process mining of EMR data: case study for sepsis management

Gert Jan de Vries, Ricardo Alfredo Quintano Neira, Gijs Geleijnse, Prabhakar Dixit, Bruno Franco Mazza

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

3 Citations (Scopus)

Abstract

Imagine you have cold shivers and a racing heartbeat and high fever. Clear thinking is impossible! Ceiling lights flash by as you are rushed to the emergency department (ED). You feel your body is getting even sicker. Doctors are doing their utmost to treat this acute and threatening condition, while they work piece together all small parts of evidence to set the diagnosis and start targeted treatment. In this situation, the clinical staff depends on a clinical pathway protocol to streamline communication and deliver care according to the latest medical evidence. Today, such clinical pathways are mainly executed and tracked using paper. Hence, there is ample opportunity for technology in a supportive role. Automated process analysis can help improve these processes of delivering standardized care beyond their current level. In this paper, we provide insight into the steps required to perform process mining to EMR data in the challenging domain of sepsis treatment and provide learnings from our preliminary analysis of these data using process mining techniques.

Original languageEnglish
Title of host publicationHEALTHINF 2017 - 10th International Conference on Health Informatics, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017
EditorsHugo Gamboa, Ana Fred, Egon L. van den Broek, Mario Vaz
PublisherSciTePress Digital Library
Pages585-593
Number of pages9
Volume5
ISBN (Electronic)9789897582134
DOIs
Publication statusPublished - 1 Jan 2017
Event10th International Conference on Health Informatics, HEALTHINF 2017 - Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017 - Porto, Portugal
Duration: 21 Feb 201723 Feb 2017

Conference

Conference10th International Conference on Health Informatics, HEALTHINF 2017 - Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017
Country/TerritoryPortugal
CityPorto
Period21/02/1723/02/17

Keywords

  • Process Analysis
  • Sepsis

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