Proceedings ArticleDOI
On process mining in health care
Uzay Kaymak,RS Ronny Mans,Tim van de Steeg,Meghan Dierks +3 more
- pp 1859-1864
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TLDR
It is argued that existing process mining methods fail to identify good process models, even for well-defined clinical processes, and a number of reasons for this shortcoming are identified.Abstract:
With the increasing demand for health care, hospitals are looking for ways to optimize their care processes in order to increase efficiency, while guaranteeing the quality of the care. Process modeling is a crucial step for process improvement, since it provides a process model that can be analyzed and optimized. Process mining is a recent promising methodology to discover process models based on data from event logs. However, early applications of process mining to health care has produced overly complex models, which have been attributed to the complexity of the health care domain. In this paper, we argue that existing process mining methods fail to identify good process models, even for well-defined clinical processes. We identify a number of reasons for this shortcoming and discuss a few directions for extending process mining methods in order to make them more suitable for the clinical domain.read more
Citations
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Journal ArticleDOI
Process mining in healthcare
TL;DR: A literature review of the usage of process mining in healthcare and the most commonly used categories and emerging topics have been identified, as well as future trends, such as enhancing Hospital Information Systems to become process-aware.
Journal ArticleDOI
Process mining techniques and applications – A systematic mapping study
Cleiton dos Santos Garcia,Alex Meincheim,Elio Ribeiro Faria Junior,Marcelo Rosano Dallagassa,Denise Maria Vecino Sato,Denise Maria Vecino Sato,Deborah Ribeiro Carvalho,Eduardo Alves Portela Santos,Edson Emílio Scalabrin +8 more
TL;DR: It is possible to observe that the most active research topics are associated with the process discovery algorithms, followed by conformance checking, and architecture and tools improvements, and finally application domains among different business segments are reported on.
Book
Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes
TL;DR: This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Journal ArticleDOI
Discovery of clinical pathway patterns from event logs using probabilistic topic models
TL;DR: This study proposes a novel approach to CP pattern discovery by modeling CPs using mixtures of an extension to the Latent Dirichlet Allocation family that jointly models various treatment activities and their occurring time stamps in CPs.
Replaying history on process models for conformance checking and performance analysis
TL;DR: The importance of maintaining a proper alignment between event log and process model is elaborated on and their application to conformance checking and performance analysis is elaborated.
References
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Book
Process Mining: Discovery, Conformance and Enhancement of Business Processes
TL;DR: This book provides real-world techniques for monitoring and analyzing processes in real time and is a powerful new tool destined to play a key role in business process management.
Journal ArticleDOI
Workflow mining: a survey of issues and approaches
W.M.P. van der Aalst,B. F. van Dongen,Joachim Herbst,Laura Maruster,G. Schimm,A.J.M.M. Weijters +5 more
TL;DR: This paper introduces the concept of workflow mining and presents a common format for workflow logs, and discusses the most challenging problems and present some of the workflow mining approaches available today.
Journal ArticleDOI
Conformance checking of processes based on monitoring real behavior
TL;DR: An incremental approach to check the conformance of a process model and an event log is proposed and a Conformance Checker has been implemented within the ProM framework and it has been evaluated using artificial and real-life event logs.
Journal Article
Mining process models from workflow logs
TL;DR: In this paper, the authors present an approach for a system that constructs process models from logs of past, unstructured executions of the given process, which conforms to the dependencies and put executions present in the log.
Book ChapterDOI
Mining Process Models from Workflow Logs
TL;DR: This work presents an approach for a system that constructs process models from logs of past, unstructured executions of the given process, and presents results from applying the algorithm to synthetic data sets as well as process logs obtained from an IBM Flowmark installation.