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....
A new study examines past and present research to determine changes in Hispanic population health findings over the years and necessary improvements still to be made.
In demographic and health...
Population health analysis is closely intertwined with value-based care. Not only can population health analytics help identify patient care gaps, but strategies can identify patient-wide interventions...
Through data analytics, Spinal Cord Injury Model System researchers identified residential mobility as a social determinant of health in individuals with spinal cord injuries.
The study’s...
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...
Using predictive analytics is a critical step toward chronic disease prevention, allowing providers to recognize early signs of illness and intervene. While some may be at a higher risk of chronic...
By using data analytics, Parkview Medical Center and Pieces Technology addressed social determinants of health and decreased their average length of stay rates among patients.
Parkview Medical Center...
University of Michigan researchers are developing a model that uses predictive analytics to determine an individual’s survival and recurrence outcomes for patients recently diagnosed with...
Many healthcare systems have made creating high-quality and value-based care a top priority. Southwestern Health Resources (SWHR) used clinical data and predictive analytics to put a total cost of care...
UT Southwestern Medical Center researchers have discovered a method to predict which skin cancers are highly metastatic with the help of artificial intelligence. The study in Cell Systems examined how...
To effectively document the severity of patient conditions and use risk stratification, the Community Health Network (CHN) in Indiana has streamlined hierarchical condition category (HCC) coding to...
The National Committee of Quality Assurance (NCQA) has launched a new Data Aggregator Validation program that will assist in ensuring the validity of clinical data used for quality reporting. The new...
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...
