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Authors: P. M. Dixit 1 ; H. S. Garcia Caballero 1 ; A. Corvò 1 ; B. F. A. Hompes 1 ; J. C. A. M. Buijs 2 and W. M. P. van der Aalst 2

Affiliations: 1 Eindhoven University of Technology and Philips Research, Netherlands ; 2 Eindhoven University of Technology, Netherlands

Keyword(s): Process Mining, Visual Analytics, Compliance Analysis, Performance Analysis, Classification

Abstract: In a typical healthcare setting, specific clinical care pathways can be defined by the hospitals. Process mining provides a way of analyzing the care pathways by analyzing the event data extracted from the hospital information systems. Process mining can be used to optimize the overall care pathway, and gain interesting insights into the actual execution of the process, as well as to compare the expectations versus the reality. In this paper, a generic novel tool called InterPretA, is introduced which builds upon pre-existing process mining and visual analytics techniques to enable the user to perform such process oriented analysis. InterPretA contains a set of options to provide high level conformance analysis of a process from different perspectives. Furthermore, InterPretA enables detailed investigative analysis by letting the user interactively analyze, visualize and explore the execution of the processes from the data perspective.

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Paper citation in several formats:
M. Dixit, P.; S. Garcia Caballero, H.; Corvò, A.; F. A. Hompes, B.; C. A. M. Buijs, J. and M. P. van der Aalst, W. (2017). Enabling Interactive Process Analysis with Process Mining and Visual Analytics. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - ACP; ISBN 978-989-758-213-4; ISSN 2184-4305, SciTePress, pages 573-584. DOI: 10.5220/0006272605730584

@conference{acp17,
author={P. {M. Dixit}. and H. {S. Garcia Caballero}. and A. Corvò. and B. {F. A. Hompes}. and J. {C. A. M. Buijs}. and W. {M. P. van der Aalst}.},
title={Enabling Interactive Process Analysis with Process Mining and Visual Analytics},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - ACP},
year={2017},
pages={573-584},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006272605730584},
isbn={978-989-758-213-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - ACP
TI - Enabling Interactive Process Analysis with Process Mining and Visual Analytics
SN - 978-989-758-213-4
IS - 2184-4305
AU - M. Dixit, P.
AU - S. Garcia Caballero, H.
AU - Corvò, A.
AU - F. A. Hompes, B.
AU - C. A. M. Buijs, J.
AU - M. P. van der Aalst, W.
PY - 2017
SP - 573
EP - 584
DO - 10.5220/0006272605730584
PB - SciTePress