Colloquium IS Xudong Lu: september (Exceptional date this time: WEDNESDAY this time)

Speaker:
Xudong Lu

Title: Utilizing Electronic Heath Records to Support Risk Prediction of Cardiovascular Diseases

Abstract: The presentation will introduce the recent research in Zhejiang University of China on Risk Assessment of Cardiovascular Diseases based on data mining techniques. The research are based on 15000 patient records collected from the hospital. The features are retrieved through Medical NLP techniques, the different risk prediction models have been used on the data, and the results have been evaluated and compared to the GRACE model which has been used in clinical practice now.

About the speaker:

Xudong Lu is a professor of medical informatics at BMI lab of Zhejiang University in China, and a visiting research professor at Technical University of Eindhoven in the Netherlands this week. Before his employment in ZJU, he has the industrial experience of working at Nihon Kohden Corporation in Japan (a well-known corporation on its physiology examination devices and information systems) from 2002-2003. His research focuses are on electronic medical record and clinical decision support. He is the project leader of the National “863” project of “Research on High-end EMR-S and its pilot implementations” initiated since 2011. Besides, he has also involved in several national projects on clinical decision support system.

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Colloquium IS Rodrigo Gonçalves: Obtaining, analyzing and manipulating traffic data for a vehicle routing application

Speaker:
Rodrigo Gonçalves

Title:
Obtaining, analyzing and manipulating traffic data for a vehicle routing application.

Abstract:
Vehicle routing problem concerns the service of a logistics company. How things are delivered from one or more depots in a given set of vehicles which move on a given road network to a set of customers. The solution is a set of routes which minimizes global transportation costs. Solutions are obtained based on known characteristics of routes such as travel times or distances between customers. Even though distances are fixed, travel times fluctuate. They are heavily dependent on punctual occurrences, like weather related events or traffic accidents, but also on the period of the year, month and day. In this talk, I will discuss how travel time data was obtained from a TomTom API, how we overcame API limitations by manipulating data and I’ll provide an analysis of how travel time changes with the period of the year, month and day.

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Colloquium IS Arthur ter Hofstede: Patterns: A Personal Reflection

Speaker:
Arthur ter Hofstede

Title:
Patterns: A Personal Reflection

Abstract:
In the (very) late nineties, I became involved in the Workflow Patterns Initiative. My first foray into patterns-related research. Over time, a number of different patterns collections would be defined and pattern-based evaluations conducted. In this talk I would like to reflect on my experiences with this type of research and discuss the use of patterns, the challenges in defining them, methodological considerations, and typical criticisms.

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Colloquium Jos Trienekens, april: “Information Quality, framing an evolving information management concept”

Speaker:
Jos Trienekens

Title:
Information Quality, framing an evolving information management concept

Abstract:
Over the years information quality has been subject to many Ph.D research and MSc. projects in the information/software management research group of our capacity group Information Systems.

This presentation will position the information quality concept in a three-level framework, and will clarify characteristics of various research projects (in our group). On each level the focus areas of specification, metrication, standardisation and continuous improvement will be discussed.

In recent years the concept of information quality has evolved towards an IT Governance subject in inter-organisational networks.  Some examples of this evolution will be presented with reference to current Ph.D projects in our research group.

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Colloquium IS Rik Eshuis: maart

Speaker:
Rik Eshuis

Title:
Supporting knowledge-intensive processes with case management

Abstract:
In recent years, case management has emerged as an approach to support knowledge workers in performing and coordinating business processes. These knowledge-intensive processes are semi-structured and can easily change. Case data and business rules determine the actual flow of work in a knowledge-intensive process. In this talk, I will discuss when to apply case management, how to design knowledge-intensive processes for case management, and how to manage changes in these knowledge-intensive processes.

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Colloquium IS Claudia Chituc:

Speaker:
Claudia Chituc

Title:
The business value of big data: opportunities and challenges

Abstract:
Information and communication technologies are used to store and analyze increasing amounts of digital data.  Although numerous advantages are associated with big data, research on the business value of big data is scarce. This presentation will report on some projects undertook towards identifying opportunities for obtaining business value out of big data.  Two models will be discussed, which provide support (e.g., to decision makers/ stakeholders) in understanding how to derive value from big data.

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Colloquium IS Shaya Pourmirza: Correlation Mining: Mining Process Orchestrations without Case Identifiers

Speaker:
Shaya Pourmirza, Remco Dijkman, Paul Grefen

Title:
Correlation Mining: Mining Process Orchestrations without Case Identifiers

Abstract:
Process discovery algorithms aim to capture process orchestration models from event logs. These algorithms have been designed for logs in which events that belong to the same case are related to each other – and to that case – by means of a unique case identifier. However, in service oriented systems these case identifiers are usually not stored beyond request-response pairs, which makes it hard to relate events that belong to the same case. This is known as the correlation challenge. This paper addresses the correlation challenge by introducing a new process discovery algorithm, called the correlation miner, that facilitates process discovery when events are not associated with a case identifier. Experiments performed on both synthetic and real-world event logs show the applicability of the correlation miner.

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Colloquium IS Mohammad Rasouli

Speaker:
Mohammad Rasouli

Title:
Information quality in dynamic networked business process management

Abstract:

The competition in globalized markets forces organizations to provide mass-customized integrated solutions for customers. Mass-customization of integrated solutions by business network requires adaptive interactions between parties to address emerging requirements of customers. These adaptive interactions need to be enabled by dynamic networked business processes (DNBP) that are supported by high quality information. However, the dynamic collaboration between parties can result in information quality (IQ) issues such as information syntactic and semantic misalignment,information leakage, and unclear information ownership. To counter negative consequences of poor IQ on the performance, the orchestrator of business network needs to clearly recognize these IQ issues. In this paper, we develop and evaluate a framework to address potential IQ issues related to DNBP. The development of the framework is based on a three step methodology that includes the characterization of dynamism of networked business processes, the characterization of IQ dimensions, and the exploration of IQ issues. To evaluate the practical significance of the explored IQ issues, we conduct a case study in a service ecosystem that is formed by a car leasing organization to provide integrated mobility solutions for customers.

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Colloquium IS Uzay Kaymak: A Discussion on Process Mining in Healthcare

Speaker:
Uzay Kaymak

Title:
A Discussion on Process Mining in Healthcare

Abstract:
In recent years, process mining has been studied for a number of applications in the healthcare domain. With the increasing need to bring healthcare processes better under control, such applications have significant potential to increase the share of process-oriented care delivery. Despite the potential, the usability of the method has been limited, mainly due to the overly complex models, which have been obtained in the healthcare settings. The complexity of these models is often attributed to the complexity of the health care domain. In this presentation, we will discuss whether this is sufficient explanation and argue that many process mining methods fail to identify good process models, even for well-defined clinical environments. We identify a number of reasons for this shortcoming and discuss a few challenges for future research in process mining in healthcare.

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Colloquium IS Lonneke Vermeulen: Developments of Tracebook

Speaker:
Lonneke Vermeulen

Title:
Developments of Tracebook

Abstract:
Atul Gawandas’ Checklist Manifesto made the medical world realize the high potential of clinical safety checklists in reducing medical errors and improving patient safety. As the current computerized checklist support systems were too static, the Brainbridge II program (a collaboration between the Eindhoven University of Technology, Zhejiang University, Philips Research and Catharina Hospital Eindhoven) developed a system that can individualize checklists based on information from the patient’s medical record while also considering the context of the clinical workflows. In this presentation I will elaborate the developments within and around this system over the past year.

After a short introduction of the Tracebook system, I will discuss four dynamic checklists we developed in the system. During the second part of the presentation, I will discuss the first results we made within the DARTS-CSI project towards forward compliance analysis and safety managing deviations from pathways in the system.

 

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