Clinical Analytics

Drug Diversion Monitoring Solutions Largely Beneficial for Providers

by Shania Kennedy

A new report from KLAS Research found that healthcare organizations reported better transaction pattern identification, drug diversion detection, and overall efficiency when utilizing drug detection...

AI Platform Recommends Lower, More Personalized Chemotherapy Doses

by Shania Kennedy

Researchers from the National University of Singapore (NUS) have shown that that an artificial intelligence (AI) platform designed to recommend optimal chemotherapy doses from cancer patients achieved...

Machine-Learning Platform Can Accurately Predict Surgical Complications

by Shania Kennedy

University of Florida (UF) researchers have developed a machine-learning (ML) platform, called MySurgeryRisk, that can predict surgical complications as accurately as clinicians. Surgery and potential...

AI Framework Cuts Time, Effort Needed to Predict Critical Care Outcomes

by Shania Kennedy

Researchers from the University of Washington’s School of Medicine and the Paul G. Allen School of Computer Science & Engineering have developed an artificial intelligence (AI) framework that...

Machine-Learning Clinical Decision Support Tool Improves UTI Treatment

by Shania Kennedy

Researchers have found that a machine learning-based clinical decision support system (CDSS) significantly impacted treatment success and antibiotic prescription behavior for urinary tract infections...

Miami Cancer Institute to Address Care Gaps Through Analytics Partnership

by Mark Melchionna

Miami Cancer Institute has partnered with COTA to eliminate disparities by using data and analytics to examine how patient demographics such as ethnicity and area of residence affect the quality of...

AI System Helps Assess Bladder Cancer Treatment Response

by Mark Melchionna

An artificial intelligence (AI)-driven system assisted in evaluating bladder cancer patient responses to chemotherapy, a University of Michigan Health Lab study found. When a patient develops bladder...

Universal Approach Needed to Improve Length of Stay Prediction Models

by Shania Kennedy

A systematic review published in PLOS Digital Health proposed the creation of a unified hospital length of stay (LoS) prediction framework following the analysis of recent developments in LoS...

Research Challenges Limit Machine Learning Use in Medical Imaging

by Shania Kennedy

Though research on machine learning use in medical imaging has grown significantly in recent years, improvements in the clinical use of such data remain limited, according to a study published in npj...

Machine-Learning Algorithm Flags High-Risk Colorectal Cancer Patients

by Mark Melchionna

A machine-learning algorithm was able to provide high-risk patients who missed a colonoscopy with information regarding the type of treatment needed, according to a study conducted by Geisinger and...

Machine Learning Links Age, Intensive Care to Pressure Ulcer Risk

by Mark Melchionna

A machine-learning approach helped clinicians determine how factors such as age, level of care, anesthesia, and ventilation, impact the development of pressure ulcers in inpatient settings, according...

Cedars-Sinai Launches Artificial Intelligence Division

by Mark Melchionna

Los Angeles-based Cedars-Sinai has created a new division called Artificial Intelligence in Medicine, with the intention of enhancing clinical care. Led by Sumeet Chugh, MD, an associate director of...

Rush Deploys AI System for Colon Cancer Screening

by Mark Melchionna

Rush University System for Health has implemented an artificial intelligence-driven tool for colon cancer screening. The Medtronic GI Genius intelligent endoscopy system can help increase the ability...

Ohio Cancer Center Joins Precision Oncology Alliance

by Erin McNemar, MPA

The Ohio State University Comprehensive Cancer Center –Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC - James) have joined Caris Life Science's Precision...

Data Analytics Points to Cardiovascular Risk After COVID-19

by Erin McNemar, MPA

Data analytics indicated that individuals who have had COVID-19 are at increased risk of developing cardiovascular complications, from the first month to a year after the infection, according to...

Data Analysis Model to Help Reveal Potential Infertility Treatments 

by Erin McNemar, MPA

A data analysis model created by University of Minnesota researchers could identify potential treatments for women facing infertility issues.   Researchers examined data...

Predictive Model Detects Early-Stage Lung Cancer

by Erin McNemar, MPA

According to a study by Massachusetts General Hospital (MGH) researchers, a predictive model can detect early-stage lung cancer from alterations in blood metabolites. Lung cancer is the leading cause...

Data Analytics Indicates Vaccination Reduces the Risk of Long-COVID

by Erin McNemar, MPA

According to a study by Arcadia, data analytics shows that current vaccines reduce the risk of long-COVID, even when administered up to 12 weeks after a COVID-19 diagnosis. Working collaboratively...

Artificial Intelligence Predicts Coronary Artery Disease Mortality

by Erin McNemar, MPA

A novel artificial intelligence score allows for accurate forecasting of death within ten years for patients with suspected or known coronary artery disease. Unlike traditional methods based on...

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,...