In healthcare, providers and lawmakers are faced with the task of making the best possible decisions for patients and the industry as a whole. From choosing the best treatments, to determining the most...
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...
As the industry continues its quest to provide holistic, comprehensive, and cost-effective care to patients, the term population health management has emerged as a crucial task for organizations to...
Cleveland Clinic researchers have built a predictive analytics model to better understand which patients with COVID-19 are at high risk of hospitalization from the virus.
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Researchers have created an early warning system that uses machine learning to predict necrotizing enterocolitis (NEC), a life-threatening intestinal disease that affects premature infants.
NEC...
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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The University of Southern California (USC) Schaeffer Center for Health Policy & Economics has launched a population health project that will use digital health technologies to reduce health...
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...
Community-based genetic screening could enhance population health by identifying individuals at high risk for three inherited conditions known to cause cancer and increased risk for heart attack and...
Dementia-associated common gene variants or the APOE e4 genotype can more than double dementia risk, but good cardiovascular health can halve dementia risk, according to a study published in...
A predictive analytics model showed that without masks, six feet of social distance may not be enough to keep one person’s respiratory droplets from reaching someone else, which could contribute...
The first collection of important data from the world’s largest study of cardiovascular disease prevention in people with HIV has revealed the significant chronic disease burden of this patient...
Neurofilament light chain as a blood biomarker can detect brain injury and predict recovery in different groups, including professional hockey players with acute or chronic concussions, according to a...
Quality data on race, ethnicity, and gender is needed to reduce disparities in confirmed COVID-19 cases and deaths, according to a report from researchers at the Medical College of Georgia.
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Although COVID-19 has spread to communities around the world, as the pandemic wears on it’s clear that the virus has impacted some populations more than others.
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The University of California, Irvine is seeking to leverage the campus’s Wi-Fi connectivity to deploy a COVID-19 contact tracing application, which could help reduce the spread of the virus.
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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...
In the largest study of its kind, researchers discovered hundreds of novel genetic variants linked to type 2 diabetes, potentially improving care for millions living with this disease.
A team from the...
Crowdsourced data from mobile apps like Yelp could help leaders identify food deserts and guide health policy, according to a study published in Frontiers in Public Health.
The classification of food...
