2019
DOI: 10.1007/978-3-030-11641-5_14
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An Application of Process Mining in the Context of Melanoma Surveillance Using Time Boxing

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Cited by 5 publications
(7 citation statements)
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“…Metsker et al (2017) developed a text mining‐based algorithms for the interpretation of medical records as a potential solution to the problem of knowledge retrieval from EHR. In Rinner et al (2018), the authors described a data preparation method which uses a naming convention based on “time boxing” for recurring events to model the time aspects used in medical guidelines. Each activity is associated to a “time box” (a fixed time period it matches in), each time box corresponds to an event in the medical guideline, and the events in each time box are named according to the name of the time box.…”
Section: Literature Discussionmentioning
confidence: 99%
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“…Metsker et al (2017) developed a text mining‐based algorithms for the interpretation of medical records as a potential solution to the problem of knowledge retrieval from EHR. In Rinner et al (2018), the authors described a data preparation method which uses a naming convention based on “time boxing” for recurring events to model the time aspects used in medical guidelines. Each activity is associated to a “time box” (a fixed time period it matches in), each time box corresponds to an event in the medical guideline, and the events in each time box are named according to the name of the time box.…”
Section: Literature Discussionmentioning
confidence: 99%
“…In the context of healthcare, the work on conformance analysis includes paper focusing on comparing the actual process model with the designed and prescriptive process model (e.g., clinical guidelines, models hand‐made by medical experts, etc.) (Anggrainingsih et al, 2018; Asare et al, 2020; Caron et al, 2014; de Vries et al, 2017; Fernández‐Llatas, Meneu, et al, 2011; Ganesha et al, 2017; Jaturogpattana et al, 2017; Kelleher et al, 2014; Kim et al, 2013; Kirchner et al, 2012; Kukreja & Batra, 2017; Mannhardt & Blinde, 2017; Neira et al, 2019; Placidi et al, 2021; Rinner et al, 2018; Rovani et al, 2015; H. Xu, Pang, Yang, Jinghui, et al, 2020; H. Xu, Pang, Yang, Ma, et al, 2020; H. Xu, Yan, Pang, Nan, et al, 2020; S. Yang, Li, et al, 2017; S. Yang, Sarcevic, et al, 2018). In these works, the results of conformance analysis are the detection and fully understanding where clinical practice deviates from the specifications in a care pathway, which leads to higher levels of quality care and patient outcomes.…”
Section: Literature Discussionmentioning
confidence: 99%
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