Risk Stratification

Diagnostic Tool Advances Population Health, Chronic Disease Prevention

by Erin McNemar, MPA

University of Utah engineers are developing a diagnostic tool for breast cancer that can be used more frequently and in younger patients. According to the engineers, the tool could significantly...

Data Analysis Helps Create COVID-19 Risk Assessment App

by Erin McNemar, MPA

Through data analysis, University of Houston researchers created a real-time COVID-19 infection risk assessment and mitigation (RT-CIRAM) system. With the high transmission rates of COVID-19,...

Studying Long COVID to Improve Population Health Efforts

by Erin McNemar, MPA

To improve population health efforts, the Icahn Scholl of Medicine at Mount Sinai will serve as the lead site of enrollment for two cohort studies examining the long-term effects of COVID-19. The...

Data Analytics Reveals Significant Drop in Cancer Screening in 2020

by Erin McNemar, MPA

In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...

Top Opportunities for Artificial Intelligence to Improve Cancer Care

by Erin McNemar, MPA

As artificial intelligence (AI) continues to grow in the healthcare field, researchers are findings new ways to utilize its capabilities. In chronic disease management and prevention, especially in cancer research, AI has been critical in...

Missed Signs of Kidney Disease Impacting Chronic Disease Prevention

by Erin McNemar, MPA

According to Michigan Medicine researchers, physicians may be missing early warning signs of kidney disease when examining cerebral palsy patients, failing to promote chronic disease...

AI Promotes Preventive Care For At-Risk Atrial Fibrillation Patients

by Erin McNemar, MPA

Massachusetts General Hospital, the Broad Institute of MIT, and Harvard researchers created an artificial intelligence-based approach to identifying patients at risk of developing atrial fibrillation,...

Mount Sinai Prediction Model Scores Acute Kidney Injury Risk

by Erin McNemar, MPA

A new prediction model created by Mount Sinai researchers can score risks and determine potential contrast-associated acute kidney injury (CA-AKI) among patients undergoing percutaneous coronary...

How COVID-19 Is Impacting Rural Population Health

by Erin McNemar, MPA

According to research from West Virginia University, COVID-19 patients living in rural areas who end up in an intensive care unit face a greater risk of dying, impacting population health. While the...

Using Genetic Data For Developing Personalized Cancer Therapies

by Erin McNemar, MPA

Indiana University researchers launched a new study to create personalized therapy for patients with triple-negative breast cancer based on genetic data. According to researchers, risk stratification...

Machine Learning Uses Predictive Analytics For Suicide Prevention

by Erin McNemar, MPA

Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior. After decades of...

Health IT Vendors To Improve Risk Adjustment Capabilities

by Erin McNemar, MPA

A recent KLAS Research report used analytics to evaluate which vendors deliver the best risk adjustment. According to the report, there is a growing interest in adopting risk adjustment solutions....

Data Analysis Reveals Risks of Prolonged Continuous Kidney Therapy

by Erin McNemar, MPA

Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...

Data Analytics Evaluates COVID-19 Vaccine Effectiveness

by Erin McNemar, MPA

By conducting data analytics on one of the world’s largest integrated health record databases, the Clalit Research Institute and Harvard University researchers examined the effectiveness of the...

Predictive Model Illustrates Transmissibility of COVID-19

by Erin McNemar, MPA

University of Chicago researchers used flu data and similarities to create a predictive model showing how COVID-19 spreads. While COVID-19 is more transmissible and deadlier than most influenzas...

Integrating Social Determinants of Health Into Risk Prediction Models

by Erin McNemar, MPA

While many risk factors patients face concerning their health are due to genetics, researchers suggest that social determinants of health could also play a role in risk prediction. In a recent study,...

Predictive Analytics Model Helps Determine Colon Cancer Risk

by Erin McNemar, MPA

Regenstrief Institute researchers created a new prediction model that determines an individual’s risk for colon cancer and precancerous polyps. The work was led by Thomas F. Imperiale, MD,...

Managing Chronic Illnesses During COVID-19, Vaccine Impact

by Erin McNemar, MPA

Those managing chronic illnesses such as cancer have been heavily impacted during the COVID-19 pandemic due to their risk factors. While the vaccine supplies some relief, according to University of...

Advancing Personalized Medicine For Ventricular Arrhythmias

by Erin McNemar, MPA

To better understand ventricular arrhythmias, Johns Hopkins University researchers are studying the use of whole-heart computational models. Whole-heart computational modeling can lead to personalized...

Genetic Mutations Key to Precision Medicine, Cancer Prevention

by Erin McNemar, MPA

A recent study indicated that genetic mutations in blood cells caused by smoking and aging-related changed could be risk factors for a rare type of blood cancer that impacts immune cells. The findings...