Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach

Suriadi, Suriadi; Mans, Ronny S.; Wynn, Moe Thandar; Partington, Andrew; Karnon, Jonathan

doi:10.1007/978-3-319-08222-6_4

Cited by 54 publications

(78 citation statements)

References 16 publications

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“…It indicates that after buyer 30 H. Huang et al created orders, T1 will send the notification message to Product_Purchase_ Customizable _Shared_PC through POUT1. It indicates that after buyer 30 H. Huang et al created orders, T1 will send the notification message to Product_Purchase_ Customizable _Shared_PC through POUT1.…”

Section: Description Of Modeling Each Process Objectmentioning

confidence: 99%

“…Although the comparison of multiple models has already been explored in [7,25,30], none of the analyzed contributions examines the design of an actual difference model that considers the characteristics of all compared models. Design solutions were developed for cohort comparison in general, in one single organization or across multiple organizations.…”

Section: Visualization Techniquesmentioning

confidence: 99%

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Asia Pacific Business Process Management

Bae¹,

Suriadi²,

Wen³

2015

Lecture Notes in Business Information Processing

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Abstract. Organisations are always focussed on ensuring that their business operations are performed in the most cost-effective manner, and that processes are responsive to ever-changing cost pressures. In many organisations, however, strategic cost-based decisions at the managerial level are not directly or quickly translatable to process-level operational support. A primary reason for this disconnect is the limited system-based support for cost-informed decisions at the process-operational level in real time. In this paper, we describe the different ways in which a workflow management system can support process-related decisions, guided by cost-informed considerations at the operational level, during execution. As a result, cost information is elevated from its non-functional attribute role to a first-class, fully functional process perspective. The paper defines success criteria that a WfMS should meet to provide such support, and discusses a reference implementation within the YAWL workflow environment that demonstrates how the various types of costinformed decision rules are supported, using an illustrative example.

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Section: Description Of Modeling Each Process Objectmentioning

confidence: 99%

Section: Visualization Techniquesmentioning

confidence: 99%

Asia Pacific Business Process Management

Bae¹,

Suriadi²,

Wen³

2015

Lecture Notes in Business Information Processing

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“…Ballambettu et al [5] propose a method for identifying key differences of process variants that could affect process duration. Suriadi et al [39] look at the processes of the emergency departments at four different hospitals. They compare these processes and their process duration to identify differences.…”

Section: Aspects Of Process Performance (Rq1)mentioning

confidence: 99%

A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

Milani

Maggi

2018

Business Information Systems

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Process mining has gained traction over the past decade and an impressive body of research has resulted in the introduction of a variety of process mining approaches measuring process performance. Having this set of techniques available, organizations might find it difficult to identify which approach is best suited considering context, performance indicator, and data availability. In light of this challenge, this paper aims at introducing a framework for categorizing and selecting performance analysis approaches based on existing research. We start from a systematic literature review for identifying the existing works discussing how to measure process performance based on information retrieved from event logs. Then, the proposed framework is built starting from the information retrieved from these studies taking into consideration different aspects of performance analysis. accessibility to open source tools has never been easier, in particular for data driven analysis of business processes. Therefore, in a digital era, businesses cannot hope to survive with manually driven methods. The process analysis must also be digitally transformed by tapping into data-driven analysis methods.One group of techniques for data driven performance analysis uses event logs of processes to assess performance. Indeed, nowadays, business processes are often supported by IT systems that log their execution. For instance, an order-to-invoice process might include activities such as register, validate, approve, fill order and send invoice. Each order has a unique id and every activity is recorded in the event log with information about the time when it was executed (timestamp) and other additional data such as the resource (person or device) that executed the activity. As such, the process is inherently captured in the log. With process mining techniques [2], the performance of such processes can be assessed and analyzed in great detail based on event logs.The body of research and tools within the field of process mining has grown significantly during this decade. However, the availability of tools and approaches developed for specific aspects of process performance does not make it easier for businesses to employ them. In fact, it poses a challenge. There is no way for businesses to easily get an overview of what performance indicators can be measured, what input data is required for such analysis, or what industry specific implementations are available. In light of this context, we propose a framework for the selection of log-based performance analysis techniques. We do so by conducting a systematic literature review to identify the body of existing work. We analyze the results and focus on identifying existing process performance indicators, required input data, and approaches available. Based on the results, we build a framework for the selection of suitable performance analysis approaches.The structure of this paper is as follows. Section 2 summarizes the research protocol for the systematic survey. In Section 3, the research que...

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“…Data mining helps to ensure, by means of different techniques and algorithms, diverse types of analysis, including, among others: identifying associations between data; data classification; data clustering; prediction of patterns; and so on. Data mining techniques previously used with process mining include the use of decision mining algorithms in Petri nets and decisions trees to determine the routing of different cases [29], the use of clustering techniques and classification analyses to deconstruct different patient cohorts [30], the use of temporal data mining techniques to analyze clinical time series data and search for patterns in them [31] and the use of association rule mining and sequence mining techniques to discover associations between risk factors and specific outcomes [32]. A wide range of commercial and non-commercial tools are available in data mining that enable the application of the aforementioned analyses, including Rapid Miner (rapidminer.com/products/studio), GNUOctave (www.gnu.org/software/octave), Weka (www.cs.waikato.ac.nz/ml/weka), or R (www.r-project.org).…”

Section: Activity 43 Data Mining Analysismentioning

confidence: 99%

Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining

et al. 2017

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Abstract:In order to improve the efficiency and effectiveness of Emergency Rooms (ER), it is important to provide answers to frequently-posed questions regarding all relevant processes executed therein. Process mining provides different techniques and tools that help to obtain insights into the analyzed processes and help to answer these questions. However, ER experts require certain guidelines in order to carry out process mining effectively. This article proposes a number of solutions, including a classification of the frequently-posed questions about ER processes, a data reference model to guide the extraction of data from the information systems that support these processes and a question-driven methodology specific for ER. The applicability of the latter is illustrated by means of a case study of an ER service in Chile, in which ER experts were able to obtain a better understanding of how they were dealing with episodes related to specific pathologies, triage severity and patient discharge destinations.

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Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach

Cited by 54 publications

References 16 publications

Asia Pacific Business Process Management

Asia Pacific Business Process Management

A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining

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