Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project
Year: 2022
Type: article
Study design: Observational Study
Source: Neurocritical Care
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
Funders: U.S. Department of Defense, American Heart Association, Citizens United for Research in Epilepsy, National Institutes of Health, National Institute of Nursing Research, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: AI driven acute renal replacement therapy - (AID-ART), Precision Seizure Management Post-Cardiac Arrest, Innovative Method for Real-time Assessment of Intracranial Compliance, The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx), Real-Time Prediction of Delayed Cerebral Ischemia after Subarachnoid Hemorrhage, The Impact of Intracranial Pressure on Cortical Functioning and Cognitive Outcome after Traumatic Brain Injury, G5850682332, G5919948628, Integrate Dynamic System Model and Machine Learning for Calibration-Free Noninvasive ICP, Machine Learning to Optimize Management of Acute Hydrocephalus Patients, Physiology-driven seizure management post-cardiac arrest, Predictive informatics monitoring in the Neonatal Intensive Care Unit, ELECTRO-BOOST: Electroencephalography for cerebral trauma recovery and oxygenation, Predicting Patient Instability Noninvasively for Nursing Care – Three (PPINNC-3), Learning to Predict Delayed Cerebral Ischemia with Novel Continuous Cerebral Arterial State Index, Sepsis Physiomarkers for Appropriate Risk Knowledge of monitored patients in the ICU (SPARK-ICU)
OpenAlex ID: W4281675563