A new study published in PLOS Digital Health shows that an automated care coordination tool can successfully identify and track cases of hepatocellular carcinoma (HCC), a type of liver cancer, which...
In a consensus statement published this week in JAMA Network Open, a panel of 14 health experts and veterans identified what quality measure concepts are important to improve care for veterans at high...
Tampa General Hospital (TGH) announced the implementation of an artificial intelligence (AI) tool designed to enhance the processes of admitting, moving, and discharging patients to improve patient...
Sanford Health and Sharp HealthCare have joined a consortium spearheaded by healthcare artificial intelligence (AI) company Dandelion Health to launch an integrated data platform that allows health...
Maryland-based TidalHealth and artificial intelligence (AI) software company Regard have launched a collaboration designed to increase patient diagnosis accuracy, reduce clinician burnout, and enhance...
In new commentary published in Health Affairs, researchers from the Rand Corporation posit that having knowledge of race and ethnicity, and including that data in healthcare algorithms, is necessary to...
Tennessee-based LifePoint Health has launched a strategic collaboration with data and analytics technology company Health Catalyst to advance patient care and improve outcomes across the health...
Researchers at the University of Arkansas will collaborate with the National Institutes of Health (NIH) and Google to develop software and cloud-based artificial intelligence (AI) modules for...
Hawaii Health Network (HHN) and COPE Health Solutions (CHS) have announced a population health analytics partnership focused on providing value-based payment insights to enhance performance under a new...
A study published this week in Nature Communications shows that an automated clinical decision support tool for genetic disease diagnosis and treatment can provide accurate results and disease...
Ohio-based Akron Children’s Hospital has launched a strategic, multi-year partnership with data and analytics technology company Health Catalyst to advance population health and improve patient...
A new study published this month in npj Digital Medicine shows the positive impact of the multisite implementation of a workflow-integrated machine-learning (ML) system to predict short-term risk and...
Researchers at Harvard and the University of Washington School of Medicine (UW Medicine) have developed an artificial intelligence (AI) software that uses deep learning to design proteins with various...
Mayo Clinic and Mercy announced a 10-year partnership focused on using data science and deidentified patient outcomes to determine effective disease prevention and treatment.
As part of the...
Researchers have developed a machine learning (ML) model capable of estimating national weekly opioid overdose mortality trends in near real-time using proxy data sources such as public health...
A recently developed artificial intelligence (AI) model out of the University of Michigan (U-M) can predict hemodynamic instability, a key indicator of patient deterioration, more accurately than...
Pittsburgh-based UPMC and Microsoft announced a five-year collaboration aimed at expanding and modernizing the health system’s data management, warehousing, and analytics infrastructure to...
A team of researchers has developed a prediction model capable of forecasting post-operative outpatient opioid use following gynecological surgery, which is currently being implemented in the clinical...
A new study published in the Journal of Medical Internet Research shows that machine-learning (ML) models can effectively predict the risk of postpartum hemorrhage using data pulled from de-identified...
A new study in JAMA Network Open found that the use of an artificial intelligence (AI)-based tool designed to review videos of small bowel capsule endoscopy (SBCE) resulted in a higher detection rate...
