Presentation Uzay Kaymak: A Discussion on Process Mining in Healthcare

Uzay Kaymak

A Discussion on Process Mining in Healthcare

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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New Employee: Rodrigo Gonçalves

RodrigoI will have my Integrated Master’s Degree in Mechanical Engineering at ‘Instituto Superior Técnico’ in Lisbon (Portugal) by the end of September, 2015. The Master is specialized in the fields of optimization, automation and control of mechanical systems thus I have a strong background in areas such as artificial intelligence, neural networks, fuzzy systems and optimal control. I also did a one-semester international exchange with Aarhus University (Denmark) from August 2013 until February 2014, where I gained an education in a new and different way.

The aim of my MSc thesis was to provide an analysis and methodology on how to proceed when facing transportation logistic problems with high complexity. During my thesis, I faced the current huge breakdown that exists in between transportation execution and planning. At Eindhoven University of Technology (TU/e), I will continue my research in the filed that I have been developing during my Master thesis. I will work as an employee of research & education in the Industrial & Innovation Sciences department.

New Employee: Bambang Suratno

bambangI took Industrial Engineering major for my bachelor degree in 2007 from Telkom University, Indonesia. After experiencing working as lead researcher in NGO and consulting firm for 4 years, I continued my study and did my master degree in 2013 majoring Industrial Engineering and Management at Bandung Institute of Technology, Indonesia. My research is in the utilization of enterprise information system for managerial benefit and explore its potential for developing knowledge management.

Currently, I am a pursuing my PhD in the Information Systems subdepartment of the School of Industrial Engineering, department of Industrial Engineering and Innovation Science, TU Eindhoven, Netherland. The general research domain of my PhD project will be ‘Support for Virtual Enterprises’, possibly covering elements from Information System Engineering, Business Process management, and Business Engineering.

Process modeling and analysis for interventional procedures in health care @Philips

The Information Systems group is often contacted by industrial organizations with assignments that could lead to student projects at various levels (master thesis project, bachelor completion project, etc.) Through this website we make these topics available to our students. In this post, we announce one such project, involving company: Philips

Process modeling and analysis for interventional procedures in health care

Primary Contacts within TU/e: Pieter Van Gorp and Uzay Kaymak

The organization

Philips is a diversified technology company, focused on improving people’s lives through meaningful innovation in the areas of Healthcare, Consumer Lifestyle and Lighting. The company is a leader in cardiac care, acute care and home healthcare, energy efficient lighting solutions and new lighting applications, as well as male shaving and grooming and oral healthcare.

This thesis relates specifically to the business unit on Interventional Cardiology solutions. Minimally invasive treatment is increasingly common in hospitals, driven by the aspiration to lower the cost for the overall healthcare system, reduce patient trauma and realize better outcomes.  Minimally invasive procedures are performed through tiny incisions instead of one large opening. Because the incisions are small, patients tend to have quicker recovery times and less discomfort than with conventional surgery.

Philips is a world leading supplier of interventional X-ray equipment in the world. With this equipment, many different types of minimally invasive procedures are supported, such as stent placement for coronary diseases, heart valve replacements, neurology and oncology procedures. For examples, see


Standardizing minimally invasive interventional procedures to improve quality of care and reduce cost becomes more and more important. To support this, Philips is innovating in gathering information on interventional procedure flows, defining standardized flows and checking compliance to standardized flows. Big data analytics techniques are also investigated for process mining such flows.

The objective for this assignment is to investigate solutions for modeling and analyzing the compliance of real-life processes for a number of minimally invasive procedures, to effectively support the health care professionals to perform such procedures. Building a (extension of an existing) prototype and evaluating it with knowledgeable stakeholders will be part of the assignment. It is expected that the main direction of the assignment will be to

  • investigate tooling to author workflow processes, also taking into account ongoing developments in Philips,
  • gain hands on expertise in state-of-the-art BPMN 2.0 compliance checking tools developed by researchers from the Information Systems group at TU/e,
  • observe real-life workflows, define process models and evaluate these with stakeholders,
  • check process compliance against available interventional procedure data,
  • improve the tool infrastructure where appropriate,
  • perform interviews with stakeholders to check usefulness of the proposed solution.


This project offers great opportunities both for a future job in industry as well as in academia. Specifically, the project is based on ongoing large scale collaborations between Philips Netherlands, Philips China, and TU Eindhoven.

Presentation Lonneke Vermeulen: Developments of Tracebook

Lonneke Vermeulen

Developments of Tracebook

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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Several possibilities for an internship Medical Experience For Healthcare @ MEDIFY

The Information Systems group is often contacted by industrial organizations with assignments that could lead to student projects at various levels (master thesis project, bachelor completion project, etc.) Through this website we make these topics available to our students. In this post, we announce one such project, involving company:

Medify aims to improve communication standards in the medical sector by generating insight through visualization. We focus on visual engagement solutions for the healthcare, pharmaceutical and medical devices markets. We deliver in all kind of computer generated imagery (CGI) solutions, from high resolution stills and animations up to augmented reality and interactive experience solutions.


Due to the combination of our in-house developed ‘Medical Experience framework’, 3D visualization expertise and your participation, we are able to bring patient understanding to the next level. With the framework’s flexibility and toolset we are able to easily create specific interactive ‘experiences’ by changing the content (textual and audio-visual information).

The Medical Experience:

  • Improves the standard in patient communication
  • Gives insight at almost any intellectual level
  • Support patients upfront, during and after patient counselling
  • Patients can review and recall information at home
  • Patient can share information with relatives

Medical Experience set-ups are developed with patients and HCPs, generates unique link per patient for communication with the hospital, can be presented in different languages and is easy accessible as it works on all devices and browsers (HTML).


Explorative Cardiology & Urology Medical Experience screenshots

Currently we help hospitals with explorative and step-wise applications, to inform patients upfront, during and after counselling about conditions and procedures. In practice use of step-wise procedural applications resulted in:

  1. Improved patient understanding
  2. 50% up to 80% counselling time reduction

Each specific procedural experience is a patient journey to experience a treatment upfront.


Please check out our digital patient counselling experiences and the way it is used in hospitals on:

Currently our applications are used in the following hospitals:

  •  Amsterdam Academisch medisch centrum (AMC)
  • Vrije universiteit Amsterdam medisch Centrum (VUmc)
  • Medisch Centrum Alkmaar (MCA)
  • Jeroen Bosch ziekenhuis (JBZ)
  • Radboud medisch mentrum
  • Universitair medisch centrum Groningen (UMCG)
  • Onze lieve vrouwen gasthuis (OLVG)
  • Ziekenhuis Oost-Limburg (ZOL, Belgium)

The Medical Experience is seen as a successfully implemented e-health solution. We won several awards and do research continuously to improve digital counselling solutions for patients. Despite these successes we have to fight every day. Actually we just made our first steps…. It would be great if you can participate!


We do have several possibilities for an internship

  • Process optimization regarding overall application implementation process
  • Time reduction analysis for hospitals
  • Make us a NEN 7510 company

Next to your research you ask you help us with our daily business activities.


If it seems interesting for you please apply for an internship, and bring us yourself, your knowledge and ideas. Please let us know what your interest would be. Contact for more information: Rik Eshuis

De Vreelandgroep is per 1 juni op zoek naar een afstudeerder!

The Information Systems group is often contacted by industrial organizations with assignments that could lead to student projects at various levels (master thesis project, bachelor completion project, etc.) Through this website we make these topics available to our students. In this post, we announce one such project, involving company Vreelandgroep


De Vreelandgroep is per 1 juni op zoek naar een afstudeerder!


De Vreelandgroep, dat zijn 10 enthousiaste organisatieadviseurs, die zich inzetten om professionals en organisaties in de zorg beter te laten presteren. Dat doen wij op het gebied van strategie, het coachen van teams en zorglogistiek. Voorbeelden van onze logistieke projecten zijn simulatiemodellen van acute opname afdelingen, nieuwbouwtrajecten van ziekenhuizen en capaciteitsvraagstukken op poliklinieken. Voor meer informatie bekijk ons filmpje over simulatiemodellen<> of kijk op onze website<>

-       je studeert Technische Bedrijfskunde, Technische Wiskunde of een vergelijkbare studie,
-       je kunt programmeren en vindt het leuk om logistieke modellen te ontwerpen,
-       kennis van R en Plant Simulation is een pre,
-       je hebt affiniteit met de gezondheidszorg en de logistieke uitdagingen die daarmee verbonden zijn
-       je kunt zelfstandig werken en hebt goede communicatieve en sociale vaardigheden.

Je zult de opdracht (gedeeltelijk) uitvoeren bij ons op kantoor in Bilthoven. Uiteraard bieden we ook een stagevergoeding.
Ben je geïnteresseerd? Stuur dan een motivatiebrief naar ons. We zullen een kennismakingsgesprek met je voeren en samen met jou kijken naar een geschikte opdracht, afhankelijk van jouw interesses en ideeën.

Contact for more information: Rik Eshuis

New Employee: Saskia van Loon

In March 2015 I got my Master’s degree in Biomedical Engeneering at the Eindhoven University of Technology (TU/e) in the field of Regenerative Medicine and Tissue Engineering. I also studied at Leiden University where I obtained my Master’s degree in Medicine in 2008. With this background I am able to bridge the gap between technology and patient. It inspires me to combine multiple disciplines and work with experts from different professional backgrounds.Saskia van Loon

Currently, I work as PhD student at the department of Clinical Chemistry and Laboratory Medicine at the Catharina Hospital in Eindhoven. My PhD project is part of the Data Science Flagship, a collaboration between TU/e and Philips Research (IMPULS 2.0). The aim of the project is to improve the outcome of cardiac resynchronization therapy (CRT) using hospital data and/or personal health devices by discriminating beforehand between responders and non-responders of CRT.

Presentation by Dr. Zhengxing Huang: Predictive monitoring of clinical pathways

Dr. Zhengxing Huang of Zhejiang University (Hangzhou, China)

Predictive monitoring of clinical pathways.

Accurate and timely monitoring, as a key aspect of clinical pathway (CP) management, provides crucial information to medical staff and hospital managers for determining the efficient medical service delivered to individual patients, and for promptly handling unusual treatment behaviors in CPs. In many applications, CP monitoring is performed in a reactive manner, e.g., variant treatment events are detected only after they have occurred in CPs. Alternatively, this study systematically presents a learning framework for predictive monitoring of CPs. The proposed framework is composed of both offline analysis and online monitoring phases. In the offline phase, a particular probabilistic topic model, i.e., treatment pattern model (TPM), is generated from electronic medical records to describe essential/critical medical behaviors of CPs. Using TPM-based measures as a descriptive vocabulary, online monitoring of CPs can be provided for ongoing patient-care journeys. Specifically, two typical predictive monitoring services, i.e., unusual treatment event prediction and clinical outcome prediction, are presented to illustrate how the potential of the proposed framework can be exploited to provide online monitoring services from both internal and external perspectives of CPs. Extensive evaluation on a real clinical data-set, typically missing from other work, demonstrates the efficacy and generality of the proposed framework for surveillance-based CP management in a predictive manner.

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New Employee: Zahra Valizadeh

Zahra1Zahra Valizadeh-Gh received her BSc. degree in applied mathematics from Kharazmi University, Tehran, Iran, in 2005, the MSc. degree in the same major from Sharif University of Technology, Tehran, Iran, in 2007, and the PhD. degree in numerical optimization from the Islamic Azad University (IAU), Iran, in 2012. Since 2012, she has been Assistant Professor at IAU. Now, she has joint to Information Systems Group as a visiting researcher for six mounths. Her research interests include the fuzzy logic, systems of fuzzy equations and systems of fuzzy relational equations/inequalities as well as the multi-criteria optimization theory.

Journal articles:

Z . Valizadeh-Gh, E . Khorram (2015) Linear Fractional Multi-Objective Optimization Problems Subject to Fuzzy Relational Equations with the Max-Average Composition, Applied and Computational Mathematics. Special Issue: New Advances in Fuzzy Mathematics: Theory, Algorithms, and Applications, 4(1-2), 20-30.

E. Khorram, R. Ezzati, Z. Valizadeh (2014) Linear fractional multi-objective optimization problems subject to fuzzy relational equations with a continuous Archimedean triangular norm, Information Sciences, 267, 225-239.

R. Ezzati, S. Khezerloo, N. Mahdavi-Amiri, Z. Valizadeh (2014) Approximate Non-negative Symmetric Solution of Fully Fuzzy Systems Using Median IntervalDefuzzi_cation, Fuzzy Information and Engineering, 6, 1-28.

E. Khorram, R. Ezzati, Z. Valizadeh (2012) Solving nonlinear multi-objective optimization problems with fuzzy relation inequality constraints regarding Archimedean triangular norm compositions, Fuzzy Optimization and Decision Making, 11(3), 299-335.

R. Ezzati, S. Khezerloo, N. Mahdavi-Amiri, Z. Valizadeh (2012) New Models and Algorithms for Approximate Solutions of Single-Signed Fully Fuzzy LR Linear Systems, Iranian Journal of Fuzzy Systems, 10(3), 1-26.

Z. Valizadeh, R. Ezzati, S. Khezerloo (2012) Approximate Symmetric Solution of Dual Fuzzy Systems Regarding Two Di_erent Fuzzy Multiplications, Indian Journal of Science and Technology, 5 (2), 2100-2112.

S. Khezerloo, M. Montazeri, Z. Valizadeh (2010) A New Method for Solving Fuzzy Linear System, International Journal of Industrial Mathematics, 2 (2), 97-104.