Clinical decision support systems can help organizations manage large volumes of data while enabling them to deliver quality, value-based care.
Designed to sort through large amounts of data and...
Applying a deep learning model to standard CT scans could generate higher-quality images, enabling providers to extract better insights and improve diagnosis, according to a study published in...
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...
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...
In order to understand the reasons behind COVID-19 disparities, healthcare organizations are increasingly conducting county-level data analyses in communities across the US.
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While the rapid spread of COVID-19 has exposed many unflattering healthcare truths, the glaring health disparities highlighted by the pandemic are perhaps the most detrimental to patient health.
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A predictive analytics model could spot illicit online pharmacies, enhancing drug safety and patient health, a study published in JMIR revealed.
Online pharmacies have grown in popularity in recent...
The Department of Defense’s (DoD) Defense Innovation Unit (DIU) is leveraging artificial intelligence tools and the department’s vast amount of medical data to identify cancers and other...
Gaps in early COVID-19 data led to significant underreporting of coronavirus cases, ultimately contributing to a large number of infections in the US by early March, a study published in the...
Heart failure and hypertensive heart disease deaths are increasing among black men and women despite advances in heart disease management, highlighting persistent racial disparities that should be...
Black, Hispanic, American Indian, and Alaskan Native patients are more likely to be hospitalized due to COVID-19 than white individuals, showing that there are significant disparities among racial and...
The Johns Hopkins Center for Health Equity, the Bloomberg American Health Initiative, and IBM Watson Health are partnering to develop a health equity measure that will incentivize healthcare...
An analysis of COVID-19 data showed that infection rates are higher among minority and socioeconomically disadvantaged children, indicating that racial and ethnic disparities persist even in pediatric...
While the spread of COVID-19 has presented healthcare with many challenges, the sheer amount of data generated by the pandemic has been one of the biggest tests the industry has faced so far.
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Decision-makers should take several criteria into account when assessing the usefulness of COVID-19 data points, according to a new guide by the National Academies of Sciences, Engineering and...
An analysis of county-level data revealed progress in reducing premature cardiac deaths in began to decline in 2011, with significant disparities among counties, according to research published in the...
Significant inaccuracies exist in Medicare beneficiaries’ race and ethnicity data, which could exacerbate disparities in healthcare access and quality, according to a study published in Medical...
Despite the promise of artificial intelligence in medical imaging, the FDA currently cannot ensure the safety and efficacy of automated AI in the imaging field, according to comments from the American...
The University of Texas MD Anderson Cancer Center and two institutions at the University of Texas at Austin – the Oden Institute for Computational Engineering and Sciences and the Texas Advanced...
