Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit.

Predictive analytics monitoring, the use of patient data to provide continuous risk estimation of deterioration, is a promising new application of big data analytical techniques to the care of individual patients. We tested the hypothesis that continuous display of novel electronic risk visualization of respiratory and cardiovascular events would impact intensive care unit (ICU) patient outcomes. In an adult tertiary care surgical trauma ICU, we displayed risk estimation visualizations on a large monitor, but in the medical ICU in the same institution we did not.

Evaluating Sleep in a Surgical Trauma Burn Intensive Care Unit: An Elusive Dilemma.

Background: Evidence points to the adverse effects of sleep deprivation on a person's health. Despite decades of attention to the issue, patients, particularly those in the intensive care unit (ICU), continue to suffer.

Objective: The purpose of this pilot study was to examine patients' perceptions of their sleep experience in the surgical trauma burn ICU and identify contributing factors.