Risk Management

Clinical deterioration AI contributes to reduced care escalation risk

April 5, 2024 - Researchers have demonstrated that an artificial intelligence (AI) model designed to detect clinical deterioration was associated with a significantly decreased risk of inpatient escalations in care, according to a study recently published in JAMA Internal Medicine. Clinical deterioration is a major driver of morbidity and mortality, but...

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Clinicians May Be Unprepared for Widespread CDS Algorithm Integration

by Shania Kennedy

In a perspective article recently published in the New England Journal of Medicine, researchers from the University of Maryland School of Medicine (UMSOM) and Beth Israel Deaconess Medical Center...

Private Grant Funding Supports Using AI to Address Disparities

by Mark Melchionna

After receiving funding from Scott and Debby Rechler, Northwell Health and the Feinstein Institutes are using artificial intelligence (AI) to create the Center for Health Outcomes under the Institute...

Federal Grant to Bolster Neonatal Research Consortium

by Shania Kennedy

The University of New Mexico (UNM) Health Sciences won a renewal of a federal grant to participate in the Neonatal Research Network, a data-sharing consortium focused on improving care for high-risk...

CT Scans Outperform Polygenic Risk Prediction Methods for Heart Disease

by Shania Kennedy

Computed tomography (CT) scans for coronary artery calcium significantly improved risk predictions for heart disease in middle-aged patients compared to polygenic risk scores, according to a study...

AI Tool Assists in Predicting the Likelihood of Pancreatic Cancer

by Mark Melchionna

Published in Nature Medicine, new research led by investigators from Harvard Medical School and the University of Copenhagen describes an artificial intelligence (AI)-based tool that aims to enhance...

Predictive Scoring System Supports Brain Hemorrhage Risk Reduction

by Mark Melchionna

A recent study published in JAMA Network Open found that patients with unruptured arteriovenous malformations (AVMs) benefited from a predictive scoring system developed based on several risk factors,...

Health Cloud Partnership to Support Improved Risk Management, Care Quality

by Shania Kennedy

Franciscan Health and Innovaccer, Inc., announced a partnership under which the 12-hospital system with facilities in Indiana and Illinois will leverage the company's advanced analytics to support...

ML Model Accurately Predicts Need for Massive Transfusion During Surgery

by Mark Melchionna

Published in JAMA Network Open, a recent study described how adding preoperative data and intraoperative hemodynamic monitoring data to a machine learning (ML)-based prediction model led to accurate...

New AI Model Can Predict Unplanned Hospitalization During Cancer Therapy

by Mark Melchionna

US-based researchers have created a new artificial intelligence (AI) model that uses data from consumer wearables, like daily step counts, to determine health outcomes during cancer therapy and predict...

Prediction Model Forecasts Quality of Life Among Childhood Cancer Survivors

by Shania Kennedy

A study published in JAMA Network Open last month found that a prediction model could accurately forecast health-related quality of life (HRQOL) among adult survivors of childhood cancer using...

Patient Deterioration Predictor Outperforms Vital Sign Measurements

by Shania Kennedy

A recently developed artificial intelligence (AI) model out of the University of Michigan (U-M) can predict hemodynamic instability, a key indicator of patient deterioration, more accurately than...

Machine Learning Can Help Detect Abdominal Hernia Surgery Complications

by Mark Melchionna

Surgeons from the University of Texas MD Anderson Cancer Center in Houston have developed machine-learning models that can calculate risks for hernia recurrence and other complications. A study that...

High Social Vulnerability Linked to High Rates of COVID-19 Mortality

by Mark Melchionna

When comparing groups that experienced the worst effects of COVID-19, a study published in Public Health Nursing found that the pandemic had a significant impact on those who exhibit high social...

Risk Prediction Model Can Help Determine, Curb Opioid Misuse

by Mark Melchionna

In response to the addiction and medical risks associated with excessive opioid use, Michigan Medicine researchers developed a risk prediction model that can help define appropriate opioid dosages for...

Partnership to Improve Population Health, Chronic Disease Management 

by Erin McNemar, MPA

To improve population health and chronic disease management, the American Diabetes Association and Renalytix have announced a joint program to enhance the overall kidney health of patients...

Data Analysis Indicates Preeclampsia Risk

by Erin McNemar, MPA

According to a data analysis of medical records for a racially diverse group of over 6,000 women, there is evidence that a combination of biological, social, and cultural factors are responsible for...

Genetic Mutation Data Indicates Ovarian Cancer Risk 

by Erin McNemar, MPA

Cedars Sinai scientists have found the origins of a common ovarian cancer by modeling fallopian tube tissue, allowing physicians to determine how genetic mutations increase an individual’s...

Improving Risk Prediction for Chronic Disease Management 

by Erin McNemar, MPA

For better chronic disease management, Boston University researchers recommend replacing the term “race” with underlying factors that indicate an increased risk for heart attacks...

Identifying Genetic Mutations Can Advance Precision Medicine Efforts

by Erin McNemar, MPA

By studying genetic mutations in patients with schizophrenia, researchers can identify disease-associated genetic variants, paving the way for precision medicine. The research was conducted...

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