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.

Comments are closed.