Enabling Interactive Process Analysis with Process Mining and Visual Analytics

Dixit, Prabhakar M.; Caballero, Humberto S. Garcia; Corvò, Alberto; Hompes, Bart F. A.; Buijs, Jorn op den; Aalst, Wil M. P. van der

doi:10.5220/0006272605730584

Cited by 13 publications

(9 citation statements)

References 10 publications

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“…The REST API of FHIR includes a "unifier", which transforms the input data into generic units and an "analyzer" which functions as the engine for the advanced analysis of input data [13]. It is composed of a modular architecture, giving the possibility of adding new features, adding new modules [25].…”

Section: Fast Healthcare Interoperability Resources (Fhir) Standardmentioning

confidence: 99%

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Lemus

Félix

Fides-Valero

et al. 2022

Sensors

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The Internet of Things paradigm in healthcare has boosted the design of new solutions for the promotion of healthy lifestyles and the remote care. Thanks to the effort of academia and industry, there is a wide variety of platforms, systems and commercial products enabling the real-time information exchange of environmental data and people’s health status. However, one of the problems of these type of prototypes and solutions is the lack of interoperability and the compromised scalability in large scenarios, which limits its potential to be deployed in real cases of application. In this paper, we propose a health monitoring system based on the integration of rapid prototyping hardware and interoperable software to build system capable of transmitting biomedical data to healthcare professionals. The proposed system involves Internet of Things technologies and interoperablility standards for health information exchange such as the Fast Healthcare Interoperability Resources and a reference framework architecture for Ambient Assisted Living UniversAAL.

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Section: Fast Healthcare Interoperability Resources (Fhir) Standardmentioning

confidence: 99%

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Lemus

Félix

Fides-Valero

et al. 2022

Sensors

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show abstract

“…In this respect, interactive process mining methods are promising as they enable healthcare experts to leverage specific domain expertise to obtain useful process mining outcomes within a particular healthcare context. Some interactive approaches have already been presented, for instance to investigate the process of stroke patients at the emergency department [116], or to interactively explore healthcare processes, which is demonstrated for the diabetes treatment process [117]. Moreover, a preliminary method to interactively perform event log cleaning within a healthcare context has recently been proposed in Martin et al [118].…”

Section: Take Into Account Healthcare Specificities During Technique Development (Rc-5)mentioning

confidence: 99%

Recommendations for enhancing the usability and understandability of process mining in healthcare

Martin

Weerdt

Fernández-Llatas

et al. 2020

Artificial Intelligence in Medicine

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Healthcare organizations are confronted with challenges including the contention between tightening budgets and increased care needs. In the light of these challenges, they are becoming increasingly aware of the need to improve their processes to ensure quality of care for patients. To identify process improvement opportunities, a thorough process analysis is required, which can be based on real-life process execution data captured by health information systems. Process mining is a research field that focuses on the development of techniques to extract process-related insights from process execution data, providing valuable and previously unknown information to instigate evidence-based process improvement in healthcare. However, despite the potential of process mining, its uptake in healthcare organizations outside case studies in a research context is rather limited. This observation was the starting point for an international brainstorm seminar. Based on the seminar's outcomes and with the ambition to stimulate a more widespread use of process mining in healthcare, this paper formulates recommendations to enhance the usability and understandability of process mining in healthcare. These recommendations are mainly targeted towards process mining researchers and the community to consider when developing a new research agenda for process mining in healthcare. Moreover, a limited number of recommendations are directed towards healthcare organizations and health information systems vendors, when shaping an environment to enable the continuous use of process mining.

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“…In [44], an approach to the categorization of process mining techniques regarding aspects of visual analysis is presented, while in [45], the general-purpose tool "InterPretA" is proposed to perform interactive process analysis, combining pre-existing process mining techniques with visual analytics. This tool supports exploratory analysis through different views of the process in order to identify and examine causes of deviations.…”

Section: Process Mining and Visual Analyticsmentioning

confidence: 99%

Fraud Audit Based on Visual Analysis: A Process Mining Approach

et al. 2021

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Among the knowledge areas in which process mining has had an impact, the audit domain is particularly striking. Traditionally, audits seek evidence in a data sample that allows making inferences about a population. Mistakes are usually committed when generalizing the results and anomalies; therefore, they appear in unprocessed sets; however, there are some efforts to address these limitations using process-mining-based approaches for fraud detection. To the best of our knowledge, no fraud audit method exists that combines process mining techniques and visual analytics to identify relevant patterns. This paper presents a fraud audit approach based on the combination of process mining techniques and visual analytics. The main advantages are: (i) a method is included that guides the use of the visual capabilities of process mining to detect fraud data patterns during an audit; (ii) the approach can be generalized to any business domain; (iii) well-known process mining techniques are used (dotted chart, trace alignment, fuzzy miner…). The techniques were selected by a group of experts and were extended to enable filtering for contextual analysis, to handle levels of process abstraction, and to facilitate implementation in the area of fraud audits. Based on the proposed approach, we developed a software solution that is currently being used in the financial sector as well as in the telecommunications and hospitality sectors. Finally, for demonstration purposes, we present a real hotel management use case in which we detected suspected fraud behaviors, thus validating the effectiveness of the approach.

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Enabling Interactive Process Analysis with Process Mining and Visual Analytics

Cited by 13 publications

References 10 publications

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Recommendations for enhancing the usability and understandability of process mining in healthcare

Fraud Audit Based on Visual Analysis: A Process Mining Approach

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