Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance (2024)

Rinner, C., Helm, E., Dunkl, R., Kittler, H., & Rinderle-Ma, S. (2018). Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance. International Journal of Environmental Research and Public Health, 15(12), [2809]. https://doi.org/10.3390/ijerph15122809

Rinner, Chrisoph ; Helm, Emmanuel ; Dunkl, Reinhold et al. / Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance. in: International Journal of Environmental Research and Public Health. 2018 ; Band 15, Nr. 12.

@article{c89b7292ed6b41a7bcfc99a579aa9249,

title = "Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance",

abstract = "Background: Process mining is a relatively new discipline that helps to discover and analyze actual process executions based on log data. In this paper we apply conformance checking techniques to the process of surveillance of melanoma patients. This process consists of recurring events with time constraints between the events. Objectives: The goal of this work is to show how existing clinical data collected during melanoma surveillance can be prepared and pre-processed to be reused for process mining. Methods: We describe an approach based on time boxing to create process models from medical guidelines and the corresponding event logs from clinical data of patient visits. Results: Event logs were extracted for 1023 patients starting melanoma surveillance at the Department of Dermatology at the Medical University of Vienna between January 2010 and June 2017. Conformance checking techniques available in the ProM framework and explorative applied process mining techniques were applied. Conclusions: The presented time boxing enables the direct use of existing process mining frameworks like ProM to perform process-oriented analysis also with respect to time constraints between events",

keywords = "FOLLOW-UP, INFORMATICS, electronic health records, health care processes, medical guidelines, process mining, Process mining, Medical guidelines, Electronic health records, Health care processes",

author = "Chrisoph Rinner and Emmanuel Helm and Reinhold Dunkl and Harald Kittler and Stefanie Rinderle-Ma",

note = "Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2018",

month = dec,

day = "1",

doi = "10.3390/ijerph15122809",

language = "English",

volume = "15",

journal = "International Journal of Environmental Research and Public Health",

issn = "1661-7827",

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Rinner, C, Helm, E, Dunkl, R, Kittler, H & Rinderle-Ma, S 2018, 'Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance', International Journal of Environmental Research and Public Health, Jg. 15, Nr. 12, 2809. https://doi.org/10.3390/ijerph15122809

Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance. / Rinner, Chrisoph; Helm, Emmanuel; Dunkl, Reinhold et al.

in: International Journal of Environmental Research and Public Health, Band 15, Nr. 12, 2809, 01.12.2018.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

TY - JOUR

T1 - Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance

AU - Rinner, Chrisoph

AU - Helm, Emmanuel

AU - Dunkl, Reinhold

AU - Kittler, Harald

AU - Rinderle-Ma, Stefanie

N1 - Publisher Copyright:© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Background: Process mining is a relatively new discipline that helps to discover and analyze actual process executions based on log data. In this paper we apply conformance checking techniques to the process of surveillance of melanoma patients. This process consists of recurring events with time constraints between the events. Objectives: The goal of this work is to show how existing clinical data collected during melanoma surveillance can be prepared and pre-processed to be reused for process mining. Methods: We describe an approach based on time boxing to create process models from medical guidelines and the corresponding event logs from clinical data of patient visits. Results: Event logs were extracted for 1023 patients starting melanoma surveillance at the Department of Dermatology at the Medical University of Vienna between January 2010 and June 2017. Conformance checking techniques available in the ProM framework and explorative applied process mining techniques were applied. Conclusions: The presented time boxing enables the direct use of existing process mining frameworks like ProM to perform process-oriented analysis also with respect to time constraints between events

AB - Background: Process mining is a relatively new discipline that helps to discover and analyze actual process executions based on log data. In this paper we apply conformance checking techniques to the process of surveillance of melanoma patients. This process consists of recurring events with time constraints between the events. Objectives: The goal of this work is to show how existing clinical data collected during melanoma surveillance can be prepared and pre-processed to be reused for process mining. Methods: We describe an approach based on time boxing to create process models from medical guidelines and the corresponding event logs from clinical data of patient visits. Results: Event logs were extracted for 1023 patients starting melanoma surveillance at the Department of Dermatology at the Medical University of Vienna between January 2010 and June 2017. Conformance checking techniques available in the ProM framework and explorative applied process mining techniques were applied. Conclusions: The presented time boxing enables the direct use of existing process mining frameworks like ProM to perform process-oriented analysis also with respect to time constraints between events

KW - FOLLOW-UP

KW - INFORMATICS

KW - electronic health records

KW - health care processes

KW - medical guidelines

KW - process mining

KW - Process mining

KW - Medical guidelines

KW - Electronic health records

KW - Health care processes

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U2 - 10.3390/ijerph15122809

DO - 10.3390/ijerph15122809

M3 - Article

VL - 15

JO - International Journal of Environmental Research and Public Health

JF - International Journal of Environmental Research and Public Health

SN - 1661-7827

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M1 - 2809

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Rinner C, Helm E, Dunkl R, Kittler H, Rinderle-Ma S. Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance. International Journal of Environmental Research and Public Health. 2018 Dez 1;15(12):2809. doi: 10.3390/ijerph15122809