Opioids

New Research to Measure the Impact of Overdose Prevention Centers

May 9, 2023 - New York University (NYU) Langone Health and Brown University’s School of Public Health have been awarded over $5 million from the National Institute on Drug Abuse (NIDA), part of the National Institutes of Health (NIH), to evaluate the impact of overdose prevention centers (OPCs) on drug overdose in the US.  According to the...

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AI Predicts Community-Based Opioid Deaths Using Social Media Posts

by Shania Kennedy

Researchers from Stony Brook University have developed an artificial intelligence (AI) model that uses social media posts to forecast opioid death rates more accurately than methods relying on...

Machine-Learning Model Estimates Risk of Adverse Prescription Opioid Outcomes

by Shania Kennedy

A study published last week in JAMA Network Open found that a machine learning (ML)-based model leveraging available administrative data can accurately estimate adverse opioid outcomes, which could...

Leveraging Location Analytics to Address the Opioid Epidemic

by Shania Kennedy

Addressing the opioid crisis has become a top public and population health priority in recent years, and big data analytics solutions to address the issue have been proposed and implemented by healthcare organizations across the country....

Wastewater Monitoring Tool Tracks COVID-19 Trends, Public Health Threats

by Shania Kennedy

Researchers from Arizona State University and personnel from the city of Tempe, Arizona, have showcased the potential utility of a wastewater-based epidemiology (WBE) tool to provide health hazard...

ML Tool Identifies Biomarkers of Neonatal Opioid Withdrawal Syndrome

by Shania Kennedy

A new study published in JAMA Network Open last week described how a machine-learning (ML) tool accurately identified a set of biomarkers for neonatal opioid withdrawal syndrome (NOWS) using newborn...

Most Drug Overdose Patients Not Tested for Fentanyl, Synthetic Opioids

by Shania Kennedy

A new study by Epic Research and the University of Maryland’s Center for Substance Abuse Research (CESAR) shows that only 5 percent of drug overdose patients admitted to the emergency department...

ML Model Estimates Weekly Opioid Overdose Deaths Using Proxy Data

by Shania Kennedy

Researchers have developed a machine learning (ML) model capable of estimating national weekly opioid overdose mortality trends in near real-time using proxy data sources such as public health...

Prediction Model Can Forecast Post-Operative Outpatient Opioid Use

by Shania Kennedy

A team of researchers has developed a prediction model capable of forecasting post-operative outpatient opioid use following gynecological surgery, which is currently being implemented in the clinical...

Cedars-Sinai Develops Predictive Models for Post-Surgery Pain Management

by Shania Kennedy

A team of researchers at Cedars-Sinai Medical Center has developed artificial intelligence (AI) and machine learning (ML) algorithms to predict which patients are most likely to successfully manage...

Experts Call for Real-Time, Comprehensive Data to Address Opioid Crisis

by Shania Kennedy

Researchers argue that current issues around opioid overdose data prevent public health officials from getting a clear picture of the opioid crisis, leading them to fight the epidemic...

Machine Learning May Help Predict Opioid Overdoses in Medicaid Patients

by Shania Kennedy

Researchers have developed and validated a machine-learning (ML) model that can accurately predict opioid overdose risk in Medicaid beneficiaries in Pennsylvania and Arizona, indicating that the model...

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...

Machine Learning, Natural Language Processing Addresses Bias

by Erin McNemar, MPA

Rush University Medical Center researchers conducted a study using machine learning to determine bias within natural language processing (NLP) regarding opioid misuse classifiers. Over the last 20...

Predictive Analytics Model Forecasts Drug Overdose Deaths

by Jill McKeon

Researchers developed a statistical predictive analytics model that studies patterns in drug-related fatality data and can identify which counties are at high risk for future fatal overdoses, according...

NIH to Leverage Data Management for Opioid Crisis Research

by Jessica Kent

The NIH Helping to End Addiction Long-term (HEAL) Initiative is tapping into data management and stewardship expertise to better inform research related to the opioid crisis. The NIH HEAL Initiative...

3 Big Data Governance Strategies to Combat the Opioid Epidemic

by Jessica Kent

As the opioid epidemic rages on in communities across the US, the healthcare industry has sought the help of big data to inform public policy and population health initiatives. While large volumes of...

Predictive Analytics Identifies Infants at Risk of Drug Withdrawal

by Jessica Kent

Predictive analytics tools could help providers identify infants at risk of developing neonatal abstinence syndrome (NAS) after being exposed to opioids during pregnancy, potentially reducing hospital...

Real-Time Data Shows Opioid Overdoses Increased During Pandemic

by Jessica Kent

Using a real-time data monitoring tool, researchers from Michigan Medicine discovered a 15 percent rise in suspected opioid overdose deaths since the early weeks of the COVID-19 pandemic. The tool...

Toolkits Use Prescription Drug Claims Data to Combat Opioid Misuse

by Jessica Kent

The Department of Health and Human Services Office of the Inspector General (HHS OIG) has developed two toolkits to identify certain patients at risk of opioid misuse or overdose using prescription...

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