Risk Assessment

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,...

Low Risk Prediction Models for Black Women Causes Health Disparities

by Erin McNemar, MPA

According to a Boston University School of Medicine study, the lack of breast cancer risk prediction models specifically tailored to Black women has created health disparities. On average, Black women...

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...

Removing Race from Chronic Kidney Disease Diagnoses

by Erin McNemar, MPA

The National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) Task Force released a report outlining a new race-free approach to diagnosing chronic kidney disease. In the joint...

Improving Breast Cancer Imaging with Artificial Intelligence

by Erin McNemar, MPA

A study led by New York University (NYU) researchers created an artificial intelligence tool to improve the accuracy of breast cancer imaging. The computer program was trained to identify patterns...

Lung Cancer Screening Eligibility Highlights Health Disparities

by Erin McNemar, MPA

Despite revised guidelines for lung cancer screening eligibility, health disparities among racial and ethnic minorities are persisting, according to the Radiological Society of North America. In 2014,...

SDOH-Related Stress Can Lead to Increased Risk of Heart Disease

by Erin McNemar, MPA

Stress due to social determinants of health can increase an individual’s risk of heart disease, according to the American Heart Association. Studies have indicated that cumulative exposure to...

Predictive Analytics Model Underperforms in Black Populations

by Jessica Kent

A commonly used predictive analytics model that forecasts lung cancer risk underperforms in Black populations, suggesting the need for improved screenings and guidelines. In a study published in JAMA...

Predictive Analytics Tool Accurately Detects Patient Deterioration

by Jessica Kent

Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients. The algorithm was more...

Suicide Risk Prediction Models Prove Cost-Effective in Healthcare

by Jessica Kent

Statistical suicide risk prediction models could be implemented cost-effectively in healthcare organizations and may help save many lives each year, according to a study published in JAMA...

Machine Learning Uses EHR Data to Predict Suicide Attempt Risk

by Jessica Kent

A machine learning tool can analyze EHR data to calculate suicide attempt risk and help providers know which patients to screen in nonpsychiatric clinical settings, a study published in JAMA Network...

Artificial Intelligence Predicts Atrial Fibrillation, Stroke Risk

by Jessica Kent

Artificial intelligence can analyze electrical signals from the heart to predict which patients are at high risk of atrial fibrillation (AF) and stroke, according to a study published in...

Cardiovascular Disease Risk Factors High in Minority Populations

by Jessica Kent

While most Hispanic and Latino people in the US were aware of their cardiovascular disease risk factors, less than half of stroke survivors in these populations had healthy blood pressure and...

Genetic Data Enhances Understanding of Asthma Development

by Jessica Kent

Examining diverse genetic data helped researchers discover a gene variant associated with childhood asthma development, demonstrating the importance of including diverse populations in research,...