Technological advances in the area of genomic medicine have led to new tests with major impact on improving disease diagnosis and effectiveness of treatments. However, the continuous growth in the use of genomic technologies has cost implications. Using established economic models it is possible to predict the costs of new treatments and assess benefits to patients in the context of the available resources for health care. In addition, this module will explore the factors that determine the effects of the rapid development of new technologies on health care systems covering the role and relative influence that government, doctors and the public exert in this process. These will be analysed to assess whether clients/patients are best served by current arrangements and whether people's health outcomes match reasonable expectations. Students will be encouraged to propose ways of tackling perceived shortcomings.
The teaching on this module is shared with two additional MSc programmes in Public Health and Health Economics and does not have a specific genomic focus, although students will be encouraged to consider the genomic applications. The number of places for Genomic Medicine students on this module is capped at five per year.
15 Masters level credits
Module attendance required
Teaching delivered in a block of five consecutive days.
23 – 27 Nov 2020
The module will be assessed via two extended essays. For those taking the module as a stand-alone option, you need only take the assessment if you require the University credits.
Academics involved in the delivery of this module
Dr Pelham Barton (Reader in Mathematical Modelling, Health Economics Unit, University of Birmingham)
Other University of Birmingham staff:
This module can be taken as a stand-alone assessed or non-assessed course. Please contact the Programme Administrator for further information at firstname.lastname@example.org
Please rest assured that we will make all reasonable efforts to provide you with the courses, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to COVID-19.
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