Clinical decision support for severe trauma patients: Machine learning based definition of a bundle of care for hemorrhagic shock and traumatic brain injury.
Journal:
The journal of trauma and acute care surgery
PMID:
34554136
Abstract
BACKGROUND: Deviation from guidelines is frequent in emergency situations, and this may lead to increased mortality. Probably because of time constraints, 55% is the greatest reported guidelines compliance rate in severe trauma patients. This study aimed to identify among all available recommendations a reasonable bundle of items that should be followed to optimize the outcome of hemorrhagic shocks (HSs) and severe traumatic brain injuries (TBIs).
Authors
Keywords
Adult
Brain Injuries, Traumatic
Critical Care
Decision Support Systems, Clinical
Emergency Medical Services
Female
France
Guideline Adherence
Hospital Mortality
Humans
Machine Learning
Male
Patient Care Bundles
Practice Guidelines as Topic
Quality Improvement
Registries
Shock, Hemorrhagic
Trauma Severity Indices