Optimal data systems
Leo Anthony Celi, MARIE E. CSETE, David J. Stone · Current Opinion in Critical Care · 2014
PURPOSE OF REVIEW: The purpose of the review is to describe the evolving concept and role of data as it relates to clinical predictions and decision-making. RECENT FINDINGS: Critical care medicine is, as an especially data-rich specialty, becoming acutely cognizant not only of its historic deficits in data utilization but also of its enormous potential for capturing, mining, and leveraging such data into well-designed decision support modalities as well as the formulation of robust best practices. SUMMARY: Modern electronic medical records create an opportunity to design complete and functional data systems that can support clinical care to a degree never seen before. Such systems are often referred to as 'data-driven,' but a better term is 'optimal data systems' (ODS). Here we discuss basic features of an ODS and its benefits, including the potential to transform clinical prediction and decision support.