More robust and standardized social determinants of health (SDOH) data will improve SDOH initiatives and patient care, according to providers in Insights by Xtelligent Healthcare Media’s most...
A predictive analytics model examined human mobility patterns in major cities across the US and revealed that non-residential locations – such as restaurants, gyms, and cafes – account for...
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...
Researchers in Carnegie Mellon University’s Robotics Institute were able to use machine learning technology to reduce food insecurity in Pennsylvania communities during the pandemic.
The team...
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...
In order to provide holistic, quality care for patients, clinicians have to address the non-clinical factors that influence overall wellness – individuals’ social determinants of...
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...
Precision medicine has emerged in recent years as a potential way to deliver personalized, comprehensive care to patients with a wide range of diseases.
In just the last few months, researchers have...
In order to understand the reasons behind COVID-19 disparities, healthcare organizations are increasingly conducting county-level data analyses in communities across the US.
For more coronavirus...
Boston University School of Public Health (SPH) and Sharecare have released their Community Well-Being Index (CWBI) state rankings report, which leverages social determinants of health data to measure...
Community Care Cooperative’s (C3’s) unique accountable care organization (ACO) model enables population health management to overcome the social determinants of health needs of their...
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...
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.
For more coronavirus updates,...
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...
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...
Parkland Center for Clinical Innovation (PCCI) has developed a big data analytics dashboard to accurately identify communities at high risk for COVID-19 infection.
For more coronavirus updates,...
Howard University College of Medicine’s 1867 Health Innovations Project and AARP Innovation Labs will leverage artificial intelligence and data analytics to boost chronic disease management in...
After evaluating social determinants data and brain bank samples, researchers have found that people who live in the most disadvantaged US neighborhoods may have a higher risk of developing...
In the healthcare industry today, it is widely understood that optimal health outcomes require addressing patients’ clinical and non-clinical needs – their social determinants of...
