A new study indicated that a precision medicine test using blood proteins can identify patients with idiopathic multicentric Castleman disease (iMCD) and are most likely to respond to treatment.
The...
Understanding an individual’s risk of disease is critical to providing the best quality of care. With health risk assessments (HRAs), also known as health risk appraisals, providers can collect...
To improve population health management, providers should use big data to understand how to best meet the needs of the community.
In a panel convened by HealthITAnalytics, informatics leaders from...
Although most hospitals across the country suffered due to the impact of COVID-19, in Numerof’s sixth annual State of Population Health Survey report, research indicates that few hospitals took...
Using a decision analytic model, a new study finds that risk-based vaccine prioritization strategies could be the most effective method to reduce the spread of COVID-19 and ensure vaccine distribution...
In a recent research letter, research authors examined how data analytics and electronic health records (EHRs) can assist in targeting marginalized populations to improve COVID-19 vaccine outreach...
Using artificial intelligence technology, Terasaki Institute for Biomedical Innovation (TIBI) researchers developed and validated an image-based detection model for COVID-19. The model analyzes lung...
Medical University of South Carolina (MUSC) researchers discovered a biomarker in blood samples that with predictive analytics can determine which patients will develop COVID-19 symptoms.
It remains...
As the COVID-19 pandemic swept across the world in 2020, hospitals and providers had to determine a course of action to continue administering quality care to their patients. At Ann & Robert Lurie...
To understand the relationship between pre-existing conditions and complications of COVID-19 infection, researchers are using natural language processing (NLP) to sift through unstructured EHR...
Researchers have determined that vaccinating children ages 12 and older is a critical component of protecting population health against future COVID-19 surges. However, data shows that racial...
Researchers used population health data modeling to determine how COVID-19 restricts impact infections and gross domestic product (GDP).
This study was conducted in Australia and uses Victoria,...
Since the start of the pandemic last year, hospital data has shown lower rates of unplanned hospital visits and higher rates of in-hospital mortality. According to Dr. Ari Robicsek, who is the chief...
Researchers from the American Chemical Society have developed a blood test using predictive analytics to determine if individuals with COVID-19 will experience severe symptoms or not. According to the...
Mayo Clinic researchers have discovered new risk factors impacting the population health of those under 45 when it comes to severe COVID-19 infection.
Using data from 9,859 COVID-19 infections,...
A new study from the Translational Genomics Research Institute suggests that the airway cells of those with chronic lung disease are primed for COVID-19 infection, meaning that COVID-19 infection in...
A recent JAMA study highlights risk factors associated with the severity of COVID-19 in individuals using machine learning models and predictive analytics. By studying COVID-19 severity and risk...
According to an analysis of Mayo Clinic data by artificial intelligence company nference, anemia-related laboratory tests should be considered in risk stratification algorithms for COVID-19...
Through genomic analysis, researchers have discovered 13 loci, or locations in the human genome, that are strongly associated with infection or severe COVID-19. The team of researchers has also...
By using demographic data and predictive analytics, researchers have determined that without the COVID-19 vaccine rollout program, the United States would have seen an additional 279,000 deaths and...
