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.

Presentation by Arthur ter Hofstede: Event Log Imperfection Patterns for Process Mining

Title: Event Log Imperfection Patterns for Process Mining

Presented by Arthur HM ter Hofstede

Based on joint work with Suriadi Suriadi, Rob Andrews and Moe Wynn


An essential component of a process mining exercise is the ability
to properly prepare the log(s) for analysis. This entails detecting various
types of errors and deficiencies as the quality of the analysis heavily
depends on the quality of the event log. Unfortunately this is not a trivial task
and much depends on the skills and experiences of the analyst(s) involved.
In order to more systematically approach log preparation and to
reduce the dependency on specialist skills, a set of patterns is proposed.
These patterns aim to capture the various types of issues that may be encountered,
the way they may manifest themselves, how they may influence analysis results,
and potential remedies to counter these issues.

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Development of a functional and technical specification for a new a Marine Vessel communication and planning tool

Project Title: Development of a functional and technical specification for a new a Marine Vessel communication and planning tool.

Opportunity Statement:The Dow Supply Chain function is actively pursuing opportunities to provide the lowest cost to serve whilst meeting best in class levels of quality and reliability. The recently implemented SAP R3 ERP system (ECC) supports different functions in executing and improving their day to day operations and deliveries to its customers.

Dow’s global Marine Deep Sea vessel function, yearly shipping more than 14.000.000 Tons  of chemicals (the equivalent of 600.000 trucks) involving freight expenditures of more than 360 million Dollars, continues to be managed outside ECC. Hence, work process related information is mainly communicated and maintained by means of  Excel spreadsheets, emails and several other standalone tools (example MAPS).

Global Supply Chain leadership envisions to implement a Marine IT solution that would allow Dow to manage Deep Sea marine shipments using one global tool fully or partly integrated with Dow’s new ECC system.

This would improve the efficiency, quality and transparency of the Marine material flow work process, order to cash.

Project Scope & Boundaries:The scope of the project relates to defining the functional requirements on the systems side of the Dow global bulk marine work process integrating with functions which directly depend and/or interact with the process such as planning, site logistics, carriers, documentation, procurement etc. Also in-scope is the jetty/berth scheduling  capability for Dow jetty’s currently managed within MAPS.

Project Goal/Objectives:This charter embodies the project of drafting and defining the functional and technical specification for a Marine IT solution, possible integrated or interfaced with Dow’s ECC system.

The objective is that once Dow’s internal IT function (Diamond Systems Solutions) receives the go-ahead to design and implement a new marine solution, a specification  is available which can serve as base for the final design.

Timeline / Location:
-        4-6 months
-        Preferred start date: Q2 2015 ( but other timing can be discussed)
-        Location: Terneuzen. (local student-housing in Terneuzen will be provided)

Deliverables:The specification should encompass functional requirements, integrating the following process’, with functions between brackets:

  • Vessel planning and shipment initiation (Planning / Scheduling)
  • Vessel nomination and chartering (Marine Operations)
  • Vessel risk and suitability acceptance (Vetting)
  • Nominating and instructing external parties (Marine Operations)
  • Detailed jetty & vessel scheduling, document printing (Dow Site Logistics, Terminals)
  • Direct access to documents, E-Docs, survey reports (Documentation)
  • Unplanned event follow including escalation (Marine Mode)
  • Data collection supporting performance monitoring and demand/capacity validation
  • Spot fixture process (Procurement)
  • Freight/accessorial costs payment & approval process (Accounts Payables)

Contact for more information: Rik Eshuis

New Employee Maryam Razavian

Maryam-Photo-NewI got my Ph.D. degree in computer science, in the area of migration to services from VU University Amsterdam. I also was a postdoc for 2 year @VU in Sofware and Service group. My research interests are in design reasoning knowledge management, software architecture, service orientation, and sustainable e-services.

During my PhD, I developed an approach for rehabilitating pre-existing legacy assets by encapsulating them as services that are, simultaneously, value-adding and technically sustainable. Such services, embedding various business functions, are specifically designed to smoothly operate in modern business processes, within networked organizations. This approach, called the Lean & Mean migration approach, was emerged out of existing practice of service migration in various industries.

During my Postdoc, I have investigated the discrepancies between business and technical sustainability of services. In the area of design thinking, I have performed an empirical study on the inuence of reflections on the the way designers of services and processes think. The main finding, simply put, was that such a design is a tricky business influenced by many cognitive factors such as the ability of a designer to reflect or communicate with various stakeholders.

At TU/E I will continue my research  on guiding service designers thinking and reasoning in order to address many of the complexities inherent in service design.