New Algorithm Identifies COVID-19 Patients Who Will Require Intensive Care or Ventilation With 90% Accuracy
|
By HospiMedica International staff writers Posted on 25 Nov 2021 |
|
Illustration
A new algorithm can predict how many patients will need intensive COVID-related healthcare.
The innovative algorithm developed by researchers from the University of Copenhagen (Copenhagen, Denmark) will help alleviate pressure whenever hospitals are confronted by new waves of COVID. It could provide valuable knowledge when it comes to prioritizing caregivers and ventilators in individual hospitals, and save lives. The algorithm can predict the course of COVID patients' illnesses in relation to how many of them will be highly likely or unlikely to require intensive care or ventilation. This is important for the allocation of staff across hospitals.
The new algorithm is based on health data from 42,526 patients who tested positive for the coronavirus between March 2020 and May 2021. It uses individual patient data, including information about a patient’s gender, age, medications, BMI, whether they smoke or not, blood pressure and more. This allows the algorithm to predict how many patients, within a one-to-fifteen day time frame, will need intensive care in the form of, for example, ventilators and constant monitoring by nurses and doctors.
Traditionally, researchers have used regression models to predict COVID-related hospital admissions. However, these models haven’t taken individual disease histories, age, gender and other factors into account. In fact, the algorithm provides extremely accurate predictions for the likely number of intensive care patients for up to 10 days.
As such, our algorithm has the potential save lives," explained Stephan Lorenzen, a postdoc at the University of Copenhagen’s Department of Computer Science. "We make better predictions than comparable models because we are able to more accurately map the potential need for ventilators and 24-hour intensive care for up to 10 days. Precision decreases slightly beyond that, similar to that of the existing algorithmic models used to predict the course of illness in COVID cases."
Related Links:
University of Copenhagen
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Oxidized Zirconium Implant Material
OXINIUM
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-Powered Algorithm to Revolutionize Detection of Atrial Fibrillation
Atrial fibrillation (AFib), a condition characterized by an irregular and often rapid heart rate, is linked to increased risks of stroke and heart failure. This is because the irregular heartbeat in AFib... Read more
AI Diagnostic Tool Accurately Detects Valvular Disorders Often Missed by Doctors
Doctors generally use stethoscopes to listen for the characteristic lub-dub sounds made by heart valves opening and closing. They also listen for less prominent sounds that indicate problems with these valves.... Read more
Critical Care
view channel
Stretchable Microneedles to Help In Accurate Tracking of Abnormalities and Identifying Rapid Treatment
The field of personalized medicine is transforming rapidly, with advancements like wearable devices and home testing kits making it increasingly easy to monitor a wide range of health metrics, from heart... Read more
Machine Learning Tool Identifies Rare, Undiagnosed Immune Disorders from Patient EHRs
Patients suffering from rare diseases often endure extensive delays in receiving accurate diagnoses and treatments, which can lead to unnecessary tests, worsening health, psychological strain, and significant... Read more
On-Skin Wearable Bioelectronic Device Paves Way for Intelligent Implants
A team of researchers at the University of Missouri (Columbia, MO, USA) has achieved a milestone in developing a state-of-the-art on-skin wearable bioelectronic device. This development comes from a lab... Read more
First-Of-Its-Kind Dissolvable Stent to Improve Outcomes for Patients with Severe PAD
Peripheral artery disease (PAD) affects millions and presents serious health risks, particularly its severe form, chronic limb-threatening ischemia (CLTI). CLTI develops when arteries are blocked by plaque,... Read moreSurgical Techniques
view channel![Image: Real-time analysis image by \"Eureka α\" with connective tissue highlighted in blue (Photo courtesy of Anaut Inc.)](https://globetechcdn.com/mobile_hospimedica/images/stories/articles/article_images/2024-05-07/Anaut_Inc_Eureka_1.jpg "Image: Real-time analysis image by \\"Eureka α\\" with connective tissue highlighted in blue (Photo courtesy of Anaut Inc.)"){kind=small}
AI-Powered Surgical Visualization Tool Supports Surgeons' Visual Recognition in Real Time
Connective tissue serves as an essential landmark in surgical navigation, often referred to as the "dissection plane" or "holy plane." Its accurate identification is vital for achieving safe and effective... Read more
Handheld Device for Fluorescence-Guided Surgery a Game Changer for Removal of High-Grade Glioma Brain Tumors
Grade III or IV gliomas are among the most common and deadly brain tumors, with around 20,000 cases annually in the U.S. and 1.2 million globally. These tumors are very aggressive and tend to infiltrate... Read more.jpg "Image: The robotic bronchial endoscope system is designed to treat individuals with obstructed airways (Photo courtesy of KIMM)")
Cutting-Edge Robotic Bronchial Endoscopic System Provides Prompt Intervention during Emergencies
A novel robotic bronchial endoscopic system has been developed to minimize side effects and provide timely intervention for airway obstructions caused by food or foreign bodies in infants, young children,... Read more
Patient Care
view channel
First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more
Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization
An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more
Game-Changing Innovation in Surgical Instrument Sterilization Significantly Improves OR Throughput
A groundbreaking innovation enables hospitals to significantly improve instrument processing time and throughput in operating rooms (ORs) and sterile processing departments. Turbett Surgical, Inc.... Read more
Health IT
view channel
Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients
Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more
Strategic Collaboration to Develop and Integrate Generative AI into Healthcare
Top industry experts have underscored the immediate requirement for healthcare systems and hospitals to respond to severe cost and margin pressures. Close to half of U.S. hospitals ended 2022 in the red... Read more
AI-Enabled Operating Rooms Solution Helps Hospitals Maximize Utilization and Unlock Capacity
For healthcare organizations, optimizing operating room (OR) utilization during prime time hours is a complex challenge. Surgeons and clinics face difficulties in finding available slots for booking cases,... Read more
AI Predicts Pancreatic Cancer Three Years before Diagnosis from Patients’ Medical Records
Screening for common cancers like breast, cervix, and prostate cancer relies on relatively simple and highly effective techniques, such as mammograms, Pap smears, and blood tests. These methods have revolutionized... Read morePoint of Care
view channel
Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing
Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Point of Care HIV Test Enables Early Infection Diagnosis for Infants
Early diagnosis and initiation of treatment are crucial for the survival of infants infected with HIV (human immunodeficiency virus). Without treatment, approximately 50% of infants who acquire HIV during... Read more
Whole Blood Rapid Test Aids Assessment of Concussion at Patient's Bedside
In the United States annually, approximately five million individuals seek emergency department care for traumatic brain injuries (TBIs), yet over half of those suspecting a concussion may never get it checked.... Read more
New Generation Glucose Hospital Meter System Ensures Accurate, Interference-Free and Safe Use
A new generation glucose hospital meter system now comes with several features that make hospital glucose testing easier and more secure while continuing to offer accuracy, freedom from interference, and... Read moreBusiness
view channel
Johnson & Johnson Acquires Cardiovascular Medical Device Company Shockwave Medical
Johnson & Johnson (New Brunswick, N.J., USA) and Shockwave Medical (Santa Clara, CA, USA) have entered into a definitive agreement under which Johnson & Johnson will acquire all of Shockwave’s... Read more
