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2019 | OriginalPaper | Buchkapitel

Interactive Data Cleaning for Process Mining: A Case Study of an Outpatient Clinic’s Appointment System

verfasst von : Niels Martin, Antonio Martinez-Millana, Bernardo Valdivieso, Carlos Fernández-Llatas

Erschienen in: Business Process Management Workshops

Verlag: Springer International Publishing

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Abstract

Hospitals are becoming increasingly aware of the need to improve their processes and data-driven approaches, such as process mining, are gaining attention. When applying process mining techniques in reality, it is widely recognized that real-life data tends to suffer from data quality problems. Consequently, thorough data quality assessment and data cleaning is required. This paper proposes an interactive data cleaning approach for process mining. It encompasses both data-based and discovery-based data quality assessment, showing that both are complementary. To illustrate some key elements of the proposed approach, a case study of an outpatient clinic’s appointment system is considered.

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Vorheriges Kapitel Developing Process Performance Indicators for Emergency Room Processes

Nächstes Kapitel Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare

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Titel: Interactive Data Cleaning for Process Mining: A Case Study of an Outpatient Clinic’s Appointment System
verfasst von: Niels Martin
Antonio Martinez-Millana
Bernardo Valdivieso
Carlos Fernández-Llatas
Verlag: Springer International Publishing
Buch: Business Process Management Workshops
Print ISBN: 978-3-030-37452-5

Electronic ISBN: 978-3-030-37453-2

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-37453-2_43

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