Continuous monitoring and treatment of patients in intensive care units generates
vast amounts of data. Critical Care Medicine clinicians incorporate this
continuously evolving data to make split-second, life or death decisions for
management of these patients. Despite the abundance of data, it can be
challenging to consider every accessible data point when making the quick
decisions necessary at the point of care. Consequently, Clinical Informatics
offers a natural partnership to improve the care for critically ill patients.
The last two decades have seen a significant evolution in the role of Clinical
Informatics in Critical Care Medicine. In this review, we will discuss how
Clinical Informatics improves the care of critically ill patients by enhancing
not only data collection and visualization but also bedside medical decision
making. We will further discuss the evolving role of machine learning algorithms
in Clinical Informatics as it pertains to Critical Care Medicine.