Literature DB >> 18487736

Process mining for clinical workflows: challenges and current limitations.

Martin Lang1, Thomas Bürkle, Susanne Laumann, Hans-Ulrich Prokosch.   

Abstract

Process mining is an emerging technology in the context of Business Process Management with the goal to derive process models from observed system behavior. The global goals are: to detect previously unknown process structures, to implement consistent process controlling which may involve computation of realistic cycle times and frequency of occurrence of process pathways, or to quantify the conformance to guidelines. We did a detailed hands-on evaluation and analysis of established process-mining approaches and assessed their abilities to cope with the challenges of clinical environments. None of the examined 7 approaches fulfilled all requirements, but 2 could be circle out, which are to some degree suitable for clinical process mining.

Mesh:

Year:  2008        PMID: 18487736

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Building bridges across electronic health record systems through inferred phenotypic topics.

Authors:  You Chen; Joydeep Ghosh; Cosmin Adrian Bejan; Carl A Gunter; Siddharth Gupta; Abel Kho; David Liebovitz; Jimeng Sun; Joshua Denny; Bradley Malin
Journal:  J Biomed Inform       Date:  2015-04-01       Impact factor: 6.317

2.  Building Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate Cancer.

Authors:  Joao H Bettencourt-Silva; Jeremy Clark; Colin S Cooper; Robert Mills; Victor J Rayward-Smith; Beatriz de la Iglesia
Journal:  JMIR Med Inform       Date:  2015-07-10

3.  Analysis of the quality of hospital information systems Audit Trails.

Authors:  Ricardo Cruz-Correia; Isabel Boldt; Luís Lapão; Cátia Santos-Pereira; Pedro Pereira Rodrigues; Ana Margarida Ferreira; Alberto Freitas
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-06       Impact factor: 2.796

  3 in total

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