Coronavirus

Artificial Intelligence-Based Scheduling Appears to Curb Physician Burnout

by Mark Melchionna

Scheduling that leverages artificial intelligence (AI) produces various benefits, including easing the frequent burnout experienced by physicians, according to new data from the American Society of...

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...

How Machine Learning Can Guide COVID-19 Decision-Making

by Erin McNemar, MPA

As the United States continues to see high rates of COVID-19 hospitalizations, providers must make difficult decisions regarding allocating medical resources to patients who may need them most. While physicians can speculate about an...

Industry Applauds as Biden Reboots Cancer Moonshot

by Erin McNemar, MPA

Almost six years to the day after the Cancer Moonshot Task Force met for the first time, President Joe Biden announced the reignition of the initiative, aiming to reduce the cancer death rate by 50...

Viewpoint: Pandemic Promise of Machine Learning Falls Short  

by Erin McNemar, MPA

With the recent advances in machine learning algorithms, healthcare professionals had high expectations for the technology during the COVID-19 pandemic. However, according to an analysis published by...

Machine Learning Tool Provides ED Clinical Decision Support 

by Erin McNemar, MPA

University of Minnesota Medical School researchers evaluated the real-time performance of a machine learning tool that supported clinical decision-making for emergency department discharges at M...

AI Partnership to Reduce Emergency Department Length of Stay 

by Erin McNemar, MPA

Novant Health, a health network of over 1,800 physicians with 15 medical centers across three states, and Aidoc, the leading provider of enterprise-grade artificial intelligence solutions for medical...

De-Identified Data to Improve Health Equity, Research 

by Erin McNemar, MPA

Truveta and LexisNexis Risk Solutions announced a strategic partnership that will use de-identified data to improve the quality of all health research and enable new insights on health...

Prioritizing Data Analytics, Value-Based Care Strategies at Nemours 

by Erin McNemar, MPA

In 2021, Nemours Children’s Health, a pediatric health system in Delaware, New Jersey, Pennsylvania, and Florida, took steps to improve its data analytics and value-based...

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 COVID-19 Patients Needing ICU Care

by Erin McNemar, MPA

According to researchers, artificial intelligence could assist doctors in allocating resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment. A...

Study Reveals Myocarditis Due to COVID-19 Vaccine Subsides Quickly

by Erin McNemar, MPA

According to data analytics from a recent study, instances of myocarditis due to the COVID-19 vaccine are usually mild and subside quickly. Myocarditis has been noted as a rare side effect of the...

Targeting COVID-19 Health Disparities With Data Analytics

by Erin McNemar, MPA

The COVID-19 pandemic has brought to light existing health disparities, especially among Black, Latinx, and other underrepresented populations. Using data analytics, Indiana’s Marion County...

Using Machine Learning to Enhance COVID-19 Prediction Models

by Erin McNemar, MPA

Using an advanced machine learning technique, Brown University researchers are exploring how to improve COVID-19 predictive models. “There’s an old saying in the modeling field that...

Social Determinants Of Health Cause COVID-19 Health Disparities

by Erin McNemar, MPA

According to a study by Rutgers University researchers, social determinants of health play a significant role in who is impacted by COVID-19, creating health disparities. The study published in...

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,...

Studying Long COVID to Improve Population Health Efforts

by Erin McNemar, MPA

To improve population health efforts, the Icahn Scholl of Medicine at Mount Sinai will serve as the lead site of enrollment for two cohort studies examining the long-term effects of COVID-19. The...

Data Analytics Reveals Significant Drop in Cancer Screening in 2020

by Erin McNemar, MPA

In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...

Machine Learning, Whole Genome Sequencing Detect Disease Outbreaks

by Erin McNemar, MPA

University of Pittsburg School of Medicine and Carnegie Mellon University researchers are using machine learning and whole-genome sequencing to improve the detection of infectious disease...

Data Analytics Connects COVID-19 Outcomes to Ethnicity, Socioeconomics

by Erin McNemar, MPA

University of California researchers used patient data analytics to determine if race and ethnicity-based COVID-19 outcomes disparities are associated with socioeconomic characteristics. Since the...