A patient's condition can deteriorate unexpectedly quickly in the intensive care unit (ICU). For his Ph.D. research, Roy van Mierlo investigated how smart predictive models can help doctors and nurses ...

In a recent development, researchers have created an AI-driven model capable of predicting mortality risk in sepsis patients admitted to intensive care units (ICUs). Leveraging cutting-edge ...

New research, published in The Journal of Immunology, identified biomarkers of a distinct immune profile that could be used to identify patients at risk for chronic critical illness (CCI) upon ...

It goes without saying that artificial intelligence (AI) continues to dominate many of the conversations around health care technology. Hospitals continue to face some of their toughest challenges ...

For decades, intensive care units (ICUs) have relied on standardized approaches designed to improve outcomes across all patients. But as people over 65 now account for roughly half of ICU patients, ...

Artificial intelligence could help intensive care teams identify which patients are most at risk of deterioration, allowing hospitals to prioritise ...

Significant predictors of VTE were APACHE II score, previous immobilization, femoral central venous catheter, and invasive mechanical ventilation. Common risk assessment models for predicting venous ...

When considering a Doctor of Nursing Practice (DNP) as the next step in their education, many nurses share concerns regarding the program’s final project. Unlike a traditional doctoral dissertation, ...

Any ICU is a highly specialized environment designed to provide critical care for patients facing life-threatening illnesses or injuries. While primary focus within the ICU is typically physiologic ...

When patients stabilize enough to leave the ICU, the transition should represent progress. Instead, it often marks the beginning of a new set of risks. Research shows that in some patient cohorts, 1 ...