Risk Stratification

10 high-value use cases for predictive analytics in healthcare

April 10, 2024 - As healthcare organizations pursue improved care delivery and increased operational efficiency, digital transformation remains a key strategy to help achieve these goals. Many health systems’ digital transformation journey involves identifying the value of their data and capitalizing on that value through big data analytics. Of the four types...

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Machine learning predicts hospitalization during cancer treatment

by Shania Kennedy

Machine learning tools can accurately forecast an unplanned hospitalization event during concurrent chemoradiotherapy (CRT) using patient-generated health data from wearable devices, according to a...

Machine learning predicts risk of suicide in patients initiating care

by Shania Kennedy

Kaiser Permanente researchers have demonstrated that a machine learning-based predictive model can stratify suicide risk among patients scheduled for an intake visit to outpatient mental healthcare,...

NIH funding development of AI tools for health disparity research

by Shania Kennedy

George Washington University (GW) School of Medicine and Health Sciences (SMHS) and the University of Maryland Eastern Shore (UMES) have been awarded a two-year, $839,000 National Institutes of Health...

Machine learning predicts perioperative peripheral artery disease risk

by Shania Kennedy

Machine learning (ML) algorithms can accurately predict one-year major adverse limb event (MALE) or death following endovascular intervention for peripheral artery disease (PAD), according to a study...

MRI-based prostate cancer risk calculators prone to underprediction

by Shania Kennedy

New research published in JAMA Network Open shows that magnetic resonance imaging (MRI)-based risk calculators can predict prostate cancer risk among adults in Europe and North America with some...

Machine learning enables prediction of pediatric urinary condition

by Shania Kennedy

Researchers from Boston Children's Hospital have developed a machine learning model to predict risk of dilating vesicoureteral reflux (VUR) in infants with hydronephrosis – a condition in...

Mount Sinai to develop sleep apnea outcome risk prediction models

by Shania Kennedy

Researchers from Mount Sinai have been awarded a four-year, $3 million grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) to develop artificial...

Machine Learning Predicts Cancer Risk in Liver Disease Patients

by Shania Kennedy

A research team from UC Davis Health developed a machine learning (ML) tool to identify which patients are at increased risk of developing hepatocellular carcinoma (HCC), a common type of liver...

Machine Learning Models Predict Mortality Among Dementia Patients

by Shania Kennedy

Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this week in...

275 Million New Genetic Variants Identified in “All of Us” Dataset

by Shania Kennedy

Researchers have identified over 275 million previously unreported genetic variants within the National Institutes of Health’s All of Us Research Program dataset, which may provide...

How Data-Informed Risk Stratification Can Support Suicide Prevention

by Shania Kennedy

As the mental health crisis in the United States persists, supporting patients and preventing adverse outcomes are top priorities for healthcare providers. However, the national behavioral health workforce shortage and access barriers to...

$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

by Shania Kennedy

Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence (AI)...

What Are the Benefits of Predictive Analytics in Healthcare?

by Editorial Staff

Predictive analytics in healthcare plays a major role in improving care delivery and patient outcomes. By leveraging historical data, this type of analytics allows health systems to gauge what’s...

UC San Diego Risk Stratification AI Predicts Sepsis, Reduces Mortality

by Shania Kennedy

Researchers from the University of California (UC) San Diego School of Medicine have found that an artificial intelligence (AI) model deployed in emergency departments to forecast patients’...

ML Model Predicts Complications Following Cardiovascular Interventions

by Shania Kennedy

A research team from the University of Michigan has developed a machine learning tool capable of accurately predicting death, major bleeding events, and the need for blood transfusion in patients...

Using Analytics Tools to Drive Care Coordination for Wildfire Victims

by Shania Kennedy

Climate change is a public health crisis, threatening human health by increasing the frequency and intensity of natural disasters like hurricanes, tropical storms, floods, heatwaves, wildfires, and more. These events have significant...

Machine Learning Model Predicts Individual Risk for Multiple Myeloma

by Shania Kennedy

Researchers have developed an individual risk prediction model for multiple myeloma, which could significantly enhance prognosis and treatment, according to a study published this week in the Journal...

Risk Prediction Model Forecasts Intensive Care Unit Admission, Survival

by Shania Kennedy

Researchers have developed a risk score to predict intensive care unit (ICU) admission and ICU survival among community-dwelling older adults, according to a study published in Health Science...

Deep Learning Model Predicts Mortality Following Medical Procedures

by Shania Kennedy

Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative...

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