Case study research allows for the identification of causal mechanisms underlying complex, systems-dependent phenomena-like innovation. However, determining that there is a causal effect does not provide the causal story. Since CLEONet aims to make recommendations on practical changes to improve policies, practices, and platforms that support LHS for precision oncology technologies, our case-based approach will facilitate a causal account of how variables create change in these outcomes. We will analyze the commonalities and differences across the 6 Case Studies for each sub-Activity in our comparative case study design, enabling us to view the same evidence in multiple ways, and preventing us from focusing on our initial impressions of each case.
Case Study Synthesis
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