To effectively use artificial intelligence in chronic disease management, providers must have high-quality and accurate data. According to University of Pennsylvania Medical Center (UPMC) Chief Health...
In a cohort study, researchers compared how an interpretable machine learning triage tool for predicting mortality operates in a cohort of patients admitted to the hospital from the emergency...
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...
University of Los Angeles (UCLA) engineers developed a method to improve diagnostic tools that examine biopsied tissue samples using artificial intelligence. The AI system uses virtual re-staining of...
New York University (NYU) is using a new kind of genomic testing to improve cancer treatment and patient outcomes.
Cancer has proven to be difficult to manage for patients and healthcare providers....
Data analytics serves as an essential tool when trying to close gaps in care. By studying data, providers can determine what steps need to be taken to improve patient outcomes.
Assistant Vice...
According to a new study, Black and Hispanic children and teens are seeing increasing rates of type 1 and type 2 diabetes, highlighting the role social determinants of health (SDOH) play in...
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...
Genome sequencing can reveal an individual’s risk for specific health conditions throughout their life. While some advocate for testing on all newborns to address disease risks early in life,...
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...
Johns Hopkins Kimmel Cancer Center researchers developed novel artificial intelligence blood testing technology to detect lung cancer in patients.
The test approach, called DELFI (DNA evaluation of...
According to a new statement from the American Heart Association, cardiovascular genetic testing in children presents challenges that require pre-and post-test counseling with a personalized approach...
Johns Hopkins Bloomberg School of Public Health researchers found that despite people with hypertension or diabetes having an increased risk of chronic kidney disease, individuals are typically not...
Harvard Medical School (HMS) and Clalit Research Institute are launching a collaborative effort to advance precision medicine. The opportunity for collaborations was enabled by a donation from the...
With the use of broad data collection, medical professionals can provide better care for their patients and eliminate health disparities. However, as health analytics advances to improve outcomes for...
According to a study from the Radiological Society of North America, prediction models based on clinical characteristics and imaging findings could reduce the number of false positives in MRI breast...
Rush University Medical Center researchers conducted a study using machine learning to determine bias within natural language processing (NLP) regarding opioid misuse classifiers.
Over the last 20...
Excluding race as a factor from the Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation used to guide cancer treatment doses and eligibility could decrease the proportion of Black...
In a genome-wide association study, Perelman School of Medicine at the University of Pennsylvania researchers identified 182 genes potentially linked to kidney function and 88 genes for hypertension....
