Linking Diagnostic-Related Groups (DRGs) to their Processes by Process Mining

Stefanini, Alessandro; Aloini, Davide; Dulmin, Riccardo; Mininno, Valeria

doi:10.5220/0005817804380443

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…TM can be implemented with the R library topicmodels. Among the surveyed papers, those that adopted the TM approach are (Huang et al, 2014;Stefanini et al, 2016;Xu et al, 2017;Prokofyeva and Zaytsev, 2020;Chiudinelli et al, 2020).…”

Section: Event Log Quality Improvementmentioning

confidence: 99%

“…Duma and Aringhieri (2017) classified events into 15 classes, then they merged consecutive events of the same event class because irrelevant from a control-flow perspective. Stefanini et al (2016) manually grouped activities having different names but same semantic. In (Naeem et al, 2017), clusters have been discovered based on time aspects, where activities having lesser frequency of occurrence were grouped as one.…”

Section: Event Log Quality Improvementmentioning

confidence: 99%

“…Stefanini et al, 2016;Valero-Ramon et al, 2019;X. Xu et al, 2017;Lee & Rismanchian, 2018;Zhang & Chen, 2012; Automated with clustering (deToledo et al, 2019;Delias et al, 2014Delias et al, , 2015Huang et al, 2014;Kovalchuk et al, 2018;Lakshmanan et al, 2013;Lismont et al, 2016;Najjar et al, 2018;Pebesma et al, 2019;Prokofyeva & Zaytsev, 2020;Ronny et al, 2015;Lu et al, 2019;S.…”

mentioning

confidence: 99%

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Process mining applications in the healthcare domain: A comprehensive review

Guzzo

Rullo

Vocaturo

2021

WIREs Data Min & Knowl

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Process mining (PM) is a well-known research area that includes techniques, methodologies, and tools for analyzing processes in a variety of application domains. In the case of healthcare, processes are characterized by high variability in terms of activities, duration, and involved resources (e.g., physicians, nurses, administrators, machineries, etc.). Besides, the multitude of diseases that the patients housed in healthcare facilities suffer from makes medical contexts highly heterogeneous. As a result, understanding and analyzing healthcare processes are certainly not trivial tasks, and administrators and doctors look for tools and methods that can concretely support them in improving the healthcare services they are involved in. In this context, PM has been increasingly used for a wide range of applications as reported in some recent reviews. However, these reviews mainly focus on discussion on applications related to the clinical pathways, while a systematic review of all possible applications is absent. In this article, we selected 172 papers published in the last 10 years, that present applications of PM in the healthcare domain. The objective of this study is to help and guide researchers interested in the medical field to understand the main PM applications in the healthcare, but also to suggest new ways to develop promising and not yet fully investigated applications. Moreover, our study could be of interest for practitioners who are considering applications of PM, who can identify and choose PM algorithms, techniques, tools, methodologies, and approaches, toward what have been the experiences of success.

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Section: Event Log Quality Improvementmentioning

confidence: 99%

Section: Event Log Quality Improvementmentioning

confidence: 99%

mentioning

confidence: 99%

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Process mining applications in the healthcare domain: A comprehensive review

Guzzo

Rullo

Vocaturo

2021

WIREs Data Min & Knowl

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“…García et al [21] used process mining for analysis and modeled processes in the Emergency area. Authors in [22] proposed a methodology for identifying and mapping patient flows through the extraction process. Pereira Detro et al [23] offer a process model adapting the method based on ontology and process mining.…”

Section: Related Workmentioning

confidence: 99%

The Business Process Model and Notation Used for the Representation of Alzheimer’s Disease Patients Care Process

Kopecký

Tomášková

2020

Data

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Currently, the number of patients with neurological diseases is increasing, especially those older than 65 suffering from Alzheimer’s disease. This development increases the emphasis on understanding and mapping treatment and care processes, not only for the elderly. Service providers (of both treatment and care) are under general pressure to decrease charges and maintain or improve existing levels of care. This situation is significantly influenced by a comprehensive knowledge of the whole process and its values. This publication therefore aims to describe the fundamental procedural aspects of caring for patients with Alzheimer’s disease, using Business Process Model and Notation (BPMN). It also aims to show the possibilities of using BPMN in the description of treatment and care. Modeling of the business process is more frequently being applied not only by businesses but also by scientists involved in process models. It is used to model medical topics, with approximately 10% of its publications only, and most of these publications deal only with clinical pathways, not with overall treatment and care processes. However, the BPMN model allows the whole process of medical and nonmedical care for patients with Alzheimer’s disease to be described, including the decomposition of partial activities into individual threads and sub-processes or atomic tasks. This paper presents the BPMN modeling and mapping of the specific care path for neurodegenerative patients. The text provides a new perspective on the BPMN modeling of Alzheimer’s disease. The presented model offers the option of expanding treatment cost calculation to simulate the process using graphical tools and languages. The overall view of this system creates a much more complex concept of the system and its surroundings.

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“…It is useful to denote that one of the emerging research disciplines is process mining [23][24][25][26][27]. According to Rojias et al (2016) [28], extracting knowledge from data generated and stored in the databases of information systems, it is possible to create an event log.…”

Section: Introductionmentioning

confidence: 99%

Management of Open Innovation in Healthcare for Cost Accounting Using EHR

Biancone

Secinaro

Brescia

et al. 2019

Journal of Open Innovation: Technology, Market, and Complexity

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The diffusion of the New Public Management philosophy determines an increasing innovation in the public field. The need for open innovation management is relevant to improve and also increase performance in healthcare organizations. Moreover, this is strictly connected with an efficient accounting and information system able to process, store and share data. Through an inductive approach to the consideration of needs, this paper deals with the social open innovation theory, the innovation of cycle theory, and the microcosting approach. Our analysis allows us to create a new framework which includes both theories and provides results for health managers and health decision-makers.

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Linking Diagnostic-Related Groups (DRGs) to their Processes by Process Mining

Cited by 7 publications

References 30 publications

Process mining applications in the healthcare domain: A comprehensive review

Process mining applications in the healthcare domain: A comprehensive review

The Business Process Model and Notation Used for the Representation of Alzheimer’s Disease Patients Care Process

Management of Open Innovation in Healthcare for Cost Accounting Using EHR

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