Machine Learning-Enabled COVID-19 Prognostic Tool Supports Clinical Decision-Making for Emergency Department Discharge
|
By HospiMedica International staff writers Posted on 26 Jan 2022 |
|
Researchers who evaluated the real-time performance of a machine learning (ML)-enabled, COVID-19 prognostic tool found that it supported clinical decision-making for emergency department discharge at hospitals.
A multidisciplinary team of intensivists, hospitalists, emergency doctors, and informaticians at the University of Minnesota Medical School (Minneapolis, MN, USA) evaluated the tool which delivered clinical decision support to emergency department providers to facilitate shared decision-making with patients regarding discharge.
The University research team successfully developed and implemented a COVID-19 prediction model that performed well across gender, race and ethnicity for three different outcomes. The logistic regression algorithm created to predict severe COVID-19 performed well in the persons under investigation, although developed on a COVID-19 positive population.
A logistic regression model ML-enabled can be developed, validated, and implemented as clinical decision support across multiple hospitals while maintaining high performance in real-time validation and remaining equitable. The researchers recommend that the effect on patient outcomes and resource use needs to be evaluated and further researched with the ML model.
“COVID-19 has burdened healthcare systems from multiple different facets, and finding ways to alleviate stress is crucial,” said Dr. Monica Lupei, an assistant professor at the U of M Medical School and medical director M Health Fairview University of Minnesota Medical Center - West Bank. “Clinical decision systems through ML-enabled predictive modeling may add to patient care, reduce undue decision-making variations and optimize resource utilization — especially during a pandemic.”
Related Links:
University of Minnesota Medical School
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
AI Analysis of Smartwatch ECGs May Help Detect Weakened Heart Function
Left ventricular systolic dysfunction (LVSD) occurs when the heart’s main pumping chamber does not contract effectively. The condition can remain asymptomatic for some time but may progress to symptomatic... Read more
AI Tool Speeds Echocardiogram Reporting With Comparable Accuracy
Echocardiography is the most widely used form of cardiac imaging, playing a key role in diagnosing heart disease and guiding treatment decisions. However, reviewing ultrasound images and documenting cardiac... Read more
Critical Care
view channel
Miniature Wearable Sensor Enables Continuous Cuffless Blood Pressure Monitoring
Blood pressure is a key indicator of cardiovascular health, but conventional cuff-based measurement typically provides only a single reading at one point in time. This can limit monitoring during everyday... Read more
Studies Support AI-ECG for Detecting Suspected Hypertrophic Cardiomyopathy
Hypertrophic cardiomyopathy is frequently underdiagnosed despite being an important cause of cardiac morbidity. Routine 12-lead electrocardiograms are widely available in emergency, inpatient, and perioperative... Read more
Surgical Techniques
view channel
Fluorescence Imaging Reveals Nerves Under Normal Operating-Room Lighting
Preventing unintended nerve injury remains a major concern during surgery, particularly in complex anatomical regions where nerves can be difficult to distinguish from surrounding tissue.... Read more
Programmable Microwave Ablation System Gains CE Mark for Minimally Invasive Tissue Ablation
Hospitals continue to seek minimally invasive approaches that simplify procedural planning and provide controlled energy delivery for tissue ablation. Thermal ablation systems are used across multiple... Read more
Minimally Invasive Balloon Procedure May Redirect Blood Flow During Cardiac Arrest
Out-of-hospital cardiac arrest has a low survival rate, and patients who do not respond to prolonged advanced resuscitation have few remaining treatment options. During cardiopulmonary resuscitation, blood... Read more
Patient Care
view channel
Virtual Reality Program May Reduce Anxiety Before Pediatric Surgery
Presurgery anxiety affects an estimated 50% to 75% of children undergoing surgery and can complicate anesthesia induction, increase postoperative pain, and prolong recovery. Sedation is often used to manage... Read more
Video-Based Support Helps Older Adults Clarify Kidney Disease Treatment Preferences
Advanced chronic kidney disease (CKD) involves progressive loss of kidney function that can lead to kidney failure and difficult treatment decisions. For older adults, these decisions may include choosing... Read more
Medical Imaging
view channel
MRI-Guided Focused Ultrasound Improves Motor Symptoms in Parkinson’s Disease
Parkinson’s disease is a progressive neurological disorder that can cause tremor, muscle stiffness, slowed movement and medication-related involuntary movements. These symptoms can limit daily function... Read more
AI Tool Reconstructs Missing Brain Connectivity Data
Diffusion MRI helps map nerve fiber pathways in the brain, but some scans lose signal in regions that are important for understanding connectivity. These gaps can affect areas such as the brainstem and... Read more
Health IT
view channel
Clinical Decision Support Tool Automates CKD Risk Assessment in Primary Care
Chronic kidney disease (CKD) requires timely diagnosis, risk assessment, and coordinated treatment in primary care. Delayed recognition can affect decisions about testing, blood pressure control, cardiovascular... Read more
EHR Alerts Support Dosing, Sedation, and Shock Recognition in Cardiac Care
Electronic health record alerts can add to clinician workload when they are poorly targeted. In critical cardiac care, however, delayed decisions can affect treatment timing, sedation exposure, and escalation... Read more
Point of Care
view channel
New Breath Condensate Testing Approach Enhances Reliability for COPD Monitoring
Chronic obstructive pulmonary disease (COPD) is a progressive lung condition that can increasingly impair breathing over time. Diagnosis and monitoring may be burdensome because patients often require... Read more
Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes
Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more
Business
view channel
Stryker Completes Acquisition to Broaden Shoulder Surgery Offerings
Stryker (Portage, MI, USA) has completed its acquisition of ZuriMED (Zurich, Switzerland), a privately held developer of the FiberLocker System, expanding its Sports Medicine portfolio with a commercialized... Read more
