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Titlebook: Process Mining in Healthcare; Evaluating and Explo Ronny S. Mans,Wil M. P. van der Aalst,Rob J. B. Va Book 2015 The Editor(s) (if applicabl

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書(shū)目名稱(chēng)Process Mining in Healthcare
副標(biāo)題Evaluating and Explo
編輯Ronny S. Mans,Wil M. P. van der Aalst,Rob J. B. Va
視頻videohttp://file.papertrans.cn/759/758981/758981.mp4
概述Analyzes organizational healthcare processes based on event data.Provides a solid basis for BPM professionals and researchers to improve hospital processes.Introduces a healthcare reference model enco
叢書(shū)名稱(chēng)SpringerBriefs in Business Process Management
圖書(shū)封面Titlebook: Process Mining in Healthcare; Evaluating and Explo Ronny S. Mans,Wil M. P. van der Aalst,Rob J. B. Va Book 2015 The Editor(s) (if applicabl
描述.What are the possibilities for process mining in hospitals?? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. .They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model..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
出版日期Book 2015
關(guān)鍵詞BPM; Business Process Management; Data Quality; Healthcare Information Systems; Process Mining
版次1
doihttps://doi.org/10.1007/978-3-319-16071-9
isbn_softcover978-3-319-16070-2
isbn_ebook978-3-319-16071-9Series ISSN 2197-9618 Series E-ISSN 2197-9626
issn_series 2197-9618
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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