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 Tool Predicts Post-Heart Attack Trajectories to Personalize Follow-Up
Acute myocardial infarction (heart attack) survivors often develop new comorbidities and complications that unfold over years. Predicting which patients will deteriorate and where problems will arise remains... Read more
AI Digital Twin Platform Supports Personalized Cancer Treatment
Oncology teams face persistent challenges in tailoring treatment plans as tumors evolve and responses vary across patients. Static snapshots from imaging or genomics offer limited guidance for complex... Read more
Study Reveals Persistent Race and Gender Bias in Medical AI Models
Hospitals are turning to artificial intelligence (AI) to draft clinical materials and support decision-making, yet algorithmic bias can entrench inequities in care. When generated content reflects racial... Read more
New Study Highlights Benefits and Risks of AI Explanations in Clinical Diagnosis
Explainable artificial intelligence is increasingly used in tools that help clinicians and patients assess skin disease, but its explanations can influence decisions and contribute to overreliance or error.... Read moreCritical Care
view channel
AI Tool Predicts Bladder Cancer from Electronic Health Records
Bladder cancer causes substantial mortality and is often detected late because early symptoms can resemble benign urologic conditions. Reliance on visible hematuria and confirmatory cystoscopy may delay... Read more
New Multimodal Framework Targets Debilitating Form of Heart Failure
Heart failure with preserved ejection fraction (HFpEF) occurs when the left ventricle becomes stiff and thickened despite maintaining a normal ejection fraction. The condition is increasingly common with... Read more
Surgical Techniques
view channel
Robot-Assisted Surgery Shows Advantages Over Laparoscopy in Gastric Cancer
Gastric cancer is most often treated with surgery, yet minimally invasive techniques can be technically challenging. Laparoscopic gastrectomy reduces recovery time compared with open surgery but relies... Read more
New Implant-Based System Gains FDA Approval for GERD Treatment
Gastroesophageal reflux disease is often treated surgically with techniques that encircle the esophagus, a strategy associated with dysphagia, inability to belch or vomit, and gas bloating.... Read more
Patient Care
view channel
Multicenter Study Quantifies Delays in Care for Emergency Department Boarders
Emergency department (ED) boarding—the practice of keeping admitted patients in the ED while awaiting an inpatient bed—creates hazardous delays in definitive care. Prolonged transitions expose older and... Read more
Real-Time Radiation Monitor Supports Safer Fluoroscopy-Guided Procedures
Fluoroscopy-guided procedures expose clinicians to scatter radiation that accumulates over time, creating persistent occupational risks in cath labs and interventional suites. Traditional badges typically... Read more
Medical Imaging
view channel
Automated AI Tool Enables Uncertainty-Aware Meningioma Volume Tracking on MRI
Magnetic resonance imaging (MRI) guides diagnosis and monitoring in brain tumors, yet routine measurements often rely on subjective reads or simplified two-dimensional calculations. These methods can miss... Read more
AI Analyzes Spinal X-Rays to Standardize Scoliosis Assessment
Scoliosis, an abnormal sideways curvature of the spine that often arises in adolescence, is gauged on radiographs using angular measurements. These measurements guide diagnosis, follow-up, and treatment... Read more
Health IT
view channel
Imaging Tool Quantifies Calcinosis Cutis Volume to Monitor Treatment
Calcinosis cutis involves calcium deposits in the skin or soft tissues that can develop anywhere in the body, causing pain, impaired mobility, and disability. Lesions along the spine or buttocks can make... Read more
Digital Symptom Monitoring Supports More Personalized Breast Cancer Care
Metastatic breast cancer, in which tumors spread to other organs, is incurable but increasingly managed with modern systemic therapies. As more treatments shift from hospital infusions to oral or at-home... Read more
Point of Care
view channel
Microneedle Patch Enables At-Home Monitoring of Acute Kidney Injury
Kidney disease is often silent in its early stages, making timely detection difficult outside clinical settings. Early biomarkers such as neutrophil gelatinase–associated lipocalin can require blood draws... Read more
Ultrathin Metasurface Could Bring Quantitative Phase Imaging to Portable Devices
Point-of-care imaging often depends on bulky optical systems that have difficulty visualizing nearly transparent cells and tissues without staining. These limitations can slow diagnosis and restrict use... Read more
Business
view channel
Smart Hospital Market Set for Strong Growth as Digital Healthcare Adoption Accelerates
Smart hospitals use digital healthcare technologies to connect clinical, operational, and administrative workflows across modern healthcare facilities. These systems integrate tools such as artificial... Read more
