To improve population health and chronic disease management, the American Diabetes Association and Renalytix have announced a joint program to enhance the overall kidney health of patients...
Population health management has become an important method for improving community health.
As the population health management market continues to develop in the healthcare space, systems must gather data from multiple sources, apply...
The National Committee for Quality Assurance announced the successful conclusion of its first Data Aggregator Validation cohort as well as the validation of ten clinical data streams and...
Moderna recently announced the launch of its Artificial Intelligence Academy. Partnering with Carnegie Mellon University, the AI Academy is intended to educate employees in integrating AI and machine...
According to data analytics from a recent study, instances of myocarditis due to the COVID-19 vaccine are usually mild and subside quickly.
Myocarditis has been noted as a rare side effect of the...
Using an advanced machine learning technique, Brown University researchers are exploring how to improve COVID-19 predictive models.
“There’s an old saying in the modeling field that...
With artificial intelligence, researchers have developed a method for providing insight into how diseases or injuries change the body, down to individual cells.
The imaging tool known as TDAExplore...
According to a multi-institution research team, predictive analytics thrives with input from both artificial intelligence and humans.
“Predictive tasks are ubiquitous — any...
According to Michigan Medicine researchers, physicians may be missing early warning signs of kidney disease when examining cerebral palsy patients, failing to promote chronic disease...
According to research from West Virginia University, COVID-19 patients living in rural areas who end up in an intensive care unit face a greater risk of dying, impacting population health.
While the...
While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...
A Mayo Clinic study using data analytics indicates that hospitals can reduce unnecessary blood transfusions and costs by implementing patient blood management programs. According to the findings, blood...
As electronic health records continue to grow in healthcare, scientists must have a uniform set of recommendations to conduct research and analyze data.
In a collaborative effort, the University of California, Irvine School of Pharmacy...
University of California researchers are studying how to advance personalized treatment for patients with HPV-associated oropharyngeal cancer. The research led by Robert Chin, MD, PhD, a radiation...
Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...
By conducting data analytics on one of the world’s largest integrated health record databases, the Clalit Research Institute and Harvard University researchers examined the effectiveness of the...
Dayton Children’s Health Partners (DCHP) partnered with Innovaccer to get assistance creating a data aggregation platform to streamline efficiency and improve patient outcomes.
DCHP is a...
According to a recent study, heightened allostatic load due to social determinants of health stressors are linked to a lower likelihood of completing chemotherapy and a lower overall survival rate for...
Using predictive analytics, a set of seven symptoms together can be used to maximize the detection of COVID-19 in a community. The paper was published in PLOS Medicine by Elliott of Imperial College...
As providers strive to improve patient outcomes, the use of machine learning has become more integrated into the healthcare system. As this new form of technology continues to expand, it’s...
