  Biomarker testing is a laboratory test in oncology that is used in the
selection of targeted cancer treatments and helping to avoid ineffective
treatments. There exist several types of biomarker tests that can be used to
detect the presence of particular mutations or variation in gene expression.
Whole Genome Sequencing (WGS) is a biomarker test for analyzing the entire
genome. WGS can provide more comprehensive diagnostic information, but it is
also more expensive than other tests. In this study, System Dynamics and Game
Theoretic models are employed to evaluate scenarios, and facilitate
organizational decision making regarding WGS implementation. These models
evaluate the clinical and economic value of WGS as well as its affordability
and accessibility. The evaluated scenarios have covered the timing of
implementing WGS using time to diagnosis and total cost.
