Course ObjectiveInnovation, Behavior, Emergence and Markets (IBEM) gives you the theory,
tools and practical experience to understand and analyse health care as
a complex, adaptive system. You will understand better how individuals
and organisations react to changes and interventions.
You learn and apply recent system theories to find out why the health
care system works as it does: the effects of privatization, survival
mechanisms and the "abnormalities" in the health care system.
You learn and experience how individual behavior leads to emergent
system effects, and also why hidden barriers obstruct innovation.
You practice and integrate what you've learned in a field work exercise
and by studying health care cases. And you experience, during the
lectures and in the form of gaming/simulations, why you (too!) make
* Understand and analyse the general properties of complex adaptive
* Get acquainted with innovation theories in a complex system context.
* Understand and analyze the interactions between individual behavior,
economy and the (health care) system.
* Acquire knowledge on innovation, economic and business models against
the challenge to improve the health care system.
* Gain insight in what determines the efficiency and effectiveness of
health care systems from the viewpoint of a market.
* Improve communication skills in group exercises and presentations.
* Practice system analysis and modelling of health care issues in
relation to innovation.
* Get a feeling how negotiations and decision making work in a complex
"Learning how to deal with complexity instead of just accepting that
something is complex" (student evaluation 2018)
"Assignments fit well with lectures and for a 3 EC course it is
challenging, yet easy to combine with another course" (student
"The mock exam was really useful to get insight in which modules needed
some more attention" (student evaluation 2019)
Course ContentIBEM’s lectures, exercises, field work and simulations cover topics such
* The properties and general laws of complex systems and the mechanisms
that determine survival, innovation and cooperation between the actors
in the system.
* The relation between ‘irrational’ behavior and emergent system
effects: why customers, hospitals, students and other actors react in
different and unexpected ways, against the assumptions of classical
* Innovation is an on-going, chaotic and competitive process that causes
unexpected emergent effects in markets: how should companies,
consultants and policy makers deal with this?
* Why network models of systems give insight in social structures and
predict how innovations (and diseases!) spread. And explain why it is
important to shake hands with Important People.
* Innovations need a ‘changeable’ environment: learn how to recognize
resistance, work on projects at " the edge of chaos" and prevent
* Companies that understand how the system works use smart strategies
for their innovations. New business models, using the experiences of
patients and social network models can be effective to support and
* Delivering affordable health to the global population is a real
challenge. Copying ‘Western' systems in developing countries doesn’t
work. The World Health Organisation applies a complex system approach
for its activities.
IBEM combines various scientific disciplines such as the theory of
Complex Adaptive Systems, behavioral economy, game theory, some
innovation theories and network theory. Overall, the course tries to
give insight in the underlying mechanisms that make human systems (like
health care) work as they do.
Teaching MethodsIBEM is a periode 3 course (50% work load in four weeks; 3 ECTS).
Total study is 80 hours.
Forms of tuition: lectures, self-study (animation, cases and
Group exercises, gaming/simulation, presentations/discussions.
Study general CAS theory: 10 hours
Lectures: 12 hours (contact hours/student: 12)
Field work: 4 hours
Gaming / simulation: 6 hours (of which contact hours/student: 2)
Group exercise: 16 hours
Study articles and cases: 6 hours
Presentation/ innovation market: 8 hours (contact hours/student: 4)
Study for exam: 16 hours
Exam: 2 hours
Method of Assessment* Exam (T)(70%)
* Field work group exercise (Prac/V) (pass/fail)
* Case study group exercise (O) (30% of which report (V) 20% and
presentation (Pres) 10%).
All three parts should be sufficient/passed - no compensation possible.
In case of not passing the exam, one resit opportunity is offered.
For an insufficient field work exercise a substitute assignment can be
LiteratureNo text book needed.
All articles and links to supportive educational materials will be
available at Canvas before the course starts.
Target AudienceYou're a master student (MPA, Innovation Sciences, Something with
Business, Health Care, Health Economy, Artificial Intelligence, ...)
You have an interest in the interactions between innovation, markets and
You're eager to understand how "things" work at the system level of
You like to have different, even headstrong perspectives to look at the
health care system.
Additional InformationCourse coordinator / examinator:
Dr. Th.P. Groen (Athena Institute; email@example.com)
Explanation CanvasA responsive mock exam is offered on Canvas which gives you
individualized feed back on the status of your learning efforts and
shows possible gaps in your preparation.
You're supposed to view introductory videos and animations (offered on
Canvas) preparing you for the lectures.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. T.P. Groen|
|Examiner||dr. T.P. Groen|
You need to register for this course yourself
Last-minute registration is available for this course.
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