Throughout the COVID-19 pandemic, predictive analytics have helped healthcare organizations plan for surges in patients, allocate necessary resources, and anticipate which populations would be at...
Current care delivery is, for the most part, conducted on an episodic basis. Patients generally see their doctors when they don’t feel well, limiting clinicians’ ability to provide...
Data from sites like Facebook and Twitter can reveal a lot about someone’s behavioral health. Past studies have shown that social media activity can predict a person’s demographic...
Using predictive analytics, researchers were able to accurately identify COVID-19 patients at risk of quickly deteriorating up to 24 hours in advance, a study published in British Journal of...
Racial disparities in cancer and COVID-19 outcomes stem from very similar factors, a finding that has significant implications for the public health sector, according to a study published in Clinical...
The Veterans Health Administration Innovation Ecosystem (VHA IE), a division of the Department of Veterans Affairs (VA), is partnering with MDClone to enhance patient outcomes by increasing clinical...
In the US, the dawn of winter has meant a surge of COVID-19 infections. Daily rates of new infections have jumped significantly since March, and the country recently surpassed 17 million confirmed...
CMS has selected Geisinger as one of seven finalists in its Artificial Intelligence Health Outcomes Challenge.
In collaboration with Medial EarlySign, the health system used artificial intelligence...
Machine learning models can predict the likelihood of critical illness or mortality in COVID-19 patients, which could help clinicians better care for and manage individuals infected with the virus,...
To learn more about how socioeconomic factors impact heart health, researchers are increasingly leveraging big data analytics technologies and examining social determinants data at the individual and...
Eighty-three percent of healthcare organizations have implemented an artificial intelligence strategy, while another 15 percent are planning to develop one, according to a recent survey conducted by...
Policymakers in Wisconsin have developed a ten-year plan to reduce cancer care disparities by improving data quality and expanding access to genetic testing.
Created by the Wisconsin Care...
A machine learning-based risk score can help providers identify COVID-19 patients who are most likely to experience negative outcomes, according to a study published in The Journal of Infectious...
After analyzing the genomic data of men of different races, researchers believe that a combination of socioeconomic and biological factors may contribute to racial disparities in prostate cancer...
Since the sudden onset of the COVID-19 pandemic, researchers and provider organizations have been working to develop accurate, timely artificial intelligence and data analytics tools that can help...
A $3.2 million grant from NIH will support researchers in using artificial intelligence to improve outcomes for heart transplant patients.
Researchers from the Perelman School of Medicine at the...
As organizations across the healthcare landscape seek to maintain or improve population health during the COVID-19 pandemic, researchers are turning to genetics to better understand patient outcomes...
Researchers at the University of Missouri School of Medicine, in partnership with Roche Diagnostics, have developed a big data dashboard to optimize the process of gathering relevant information for...
A new biochip uses machine learning to differentiate between cancers and healthy tissues at the single-cell level, according to a study published in Advanced Biosystems.
Because of the heterogeneous...
Patients with advanced cancer who received precision medicine treatments were more likely to survive or have longer periods without their disease progressing than those who received standard therapies,...
