Using a predictive analytics model, providers can better project COVID-19 outcomes for improved decision-making and resource allocation, according to a study published in Annals of Internal...
With the COVID-19 pandemic impacting US communities in different ways, research and provider institutions have increasingly turned to big data analytics tools to track and monitor the virus’s...
The University of California, San Diego (UCSD) School of Medicine and Cofactor Genomics are collaborating to boost patient outcomes in cancer care using precision medicine techniques.
The partnership...
A machine learning approach can analyze placenta slides and inform more women of their health risks in future pregnancies, leading to lower healthcare costs and better outcomes, according to a study...
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...
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...
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...
As the healthcare industry has increasingly aimed to deliver proactive, quality care, predictive analytics models have emerged as viable tools for improving outcomes and cutting costs.
From mapping...
Artificial intelligence tools have played a pivotal role in the COVID-19 pandemic thus far, helping researchers and healthcare organizations identify hot spots, prepare for potential resource gaps, and...
In the midst of a situation as uncertain as the COVID-19 pandemic, the healthcare industry has sought to use big data and predictive analytics tools to better understand the virus and its spread.
For...
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...
The interaction of COVID-19 and existing chronic diseases – including diabetes, obesity, and hypertension – are associated with poorer outcomes from the virus, indicating that health...
Black men who have received heart transplants may be at increased risk for worse outcomes with COVID-19, indicating gender and racial disparities that warrant further research, according to a study...
A team from Regenstrief Institute and the Indiana University School of Medicine is applying data analytics techniques to previously inaccessible dental record information with the goal of improving...
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...
A team at Johns Hopkins University has received a $195,000 Rapid Response Research grant from the National Science Foundation to use machine learning to detect which COVID-19 patients are at high risk...
Across the healthcare landscape, it is widely understood but rarely confessed that not all care is delivered equally.
In an ideal world – or just a fairer one – the medical industry would be able to seamlessly address an...
With the healthcare industry steadily moving toward more holistic, preventive care delivery, health systems have increasingly recognized the critical role the social determinants of health play in the...
Clinical decision support systems are essential for organizations aiming to advance healthcare delivery, helping physicians flag potential problems and make more informed choices.
Although these tools...
Over 450,000 Americans are currently on dialysis. While this treatment can be lifesaving, frequent needle sticks cause many patients to develop arteriovenous fistula aneurysms, a twisting of the blood...
