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...
Fifty-six percent of healthcare leaders say their current population health management solution doesn’t meet their needs, according to a survey from Persivia and commissioned by Sage Growth...
As the healthcare industry continues to seek solutions to track and control the spread of COVID-19, patient matching and data standardization have surfaced as effective responses to the pandemic.
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ONC recently released results from its Coordinated Registry Network for Women’s Health Technology project, a joint effort with the FDA and NIH to facilitate real-world data access and...
When evaluating COVID-19 data to inform policies, decision-makers should consider five criteria to better understand the spread of the virus in their communities: representativeness, potential...
COVID-19 death rates in the US are correlated with patients’ age, race, socioeconomic status, and other social determinants of health data, according to a study led by researchers at the MIT...
A big data model projected that without any changes in alcohol consumption or interventions to address high-risk drinking, deaths from alcohol-related liver disease will rise significantly in the US,...
In the time since the COVID-19 pandemic has hit and spread across the US, the virus has further exposed glaring health disparities and lack of quality care access experienced by particular...
Artificial intelligence has the potential to help address global health challenges, but stakeholders must promote rapid and equitable data access and establish ethical standards in order to use the...
At Southern Illinois Healthcare and Care New England, internal data and analytics has empowered the organizations and pushed the quality improvement programs forward.
These programs are contingent on...
An international team of researchers has developed a new method to leverage multiple data-driven models for COVID-19 outbreak management.
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COVID-19 data gathered during the pandemic has shed light on significant healthcare disparities, revealing poorer outcomes in minority and underserved communities.
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Genomic data integration at the point of care will require education around implementation and decision-making, as well as industry-wide privacy and security standards, according to an ONC report.
The...
County-level data collected during the COVID-19 pandemic has revealed staggering racial and ethnic disparities in care, with the virus disproportionately impacting black and Hispanic populations....
The US Department of Commerce’s National Institute of Standards and Technology (NIST) and the White House Office of Science and Technology Policy (OSTP) have partnered to support the development...
