The world is becoming increasingly ever more complex, even as we have more information and data than ever before. The problem is not accessing information. The problem is making sense of information for effective actions and outcomes. Whether we are discussing precision medicine, AI or COVID-19, undertakings in healthcare and society in general are characterized by complexity. The principal components of complexity are interdependency of relationships and uncertainty. Building on prior work in decision science, this talk provides an analysis of a sampling of decision distortions and derailments using the ongoing COVID-19 pandemic as an illustrative case study to begin a dialogue with the panelists on the question: how can we leverage systems thinking and the multi-stakeholder decision making to address globally relevant and complex issues?