Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

This article presents a case study of how stakeholders in one state came together to integrate practice and research that is a step beyond a learning health care system. Objectives: The cost and ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Big Hairy Audacious Goals (BHAGs) can focus our attention and propel needed action to improve total population health, the authors argue. Neither care delivery nor public health systems have grappled ...

As artificial intelligence tools continue to advance, the transformative potential in healthcare is becoming increasingly clear. Historically, much of the focus has been on validating algorithms in ...

Penn researchers were awarded a $5 million grant for a program to train the next generation of learning health system scientists. The funding will be used to establish a Learning Health System ...

Healthcare leaders can learn four important lessons from a recent study indicating universal colonization as superior to other strategies for reducing methicillin-resistant Staphylococcus aureus among ...

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium ...

Advances in trauma care have accelerated over the past decade, spurred by the significant burden of injury from the wars in Afghanistan and Iraq. Between 2005 and 2013, the case fatality rate for ...