AI Outperforms Traditional Methods in Controlling Disease Spread Between Prisons and Communities
A reinforcement learning AI model used by SHP researchers achieved high reductions in infections with far fewer resources used for testing and much less intense non-pharmaceutical interventions.
AI-augmented Class Tackles National Security Challenges of the Future
In classes taught through the Gordian Knot Center, artificial intelligence is taking a front and center role in helping students find innovative solutions to global policy issues.
Global health-care executives are partnering with Stanford Medicine to develop an evidence-based policy agenda that will guide the Future of Health’s members over the next decade.
SHP researchers and colleagues at the California Correctional Health Care Services find that COVID-19 is associated with significant increases in hypertension incidence in the large, racially and ethnically diverse prison population.
In this Health Affairs study, Stanford researchers examine the promises of efficiency and risks of supercharged flaws in the race to use artificial intelligence in health care.
The Stanford Human Trafficking Data Lab, in partnership with Brazil’s Federal Labor Prosecution Office (FLPO), is developing Chain-Link, a new data-driven technical tool to map exploitative supply chains.
In this timely study, SHP's Lee Sanders reveals that Medicaid discharges accounted for $119.5 billion—more than half of all pediatric hospital discharges nationwide—a figure the researchers called “striking.”
SHP researchers built a model to test whether AI could beat traditional methods to stop disease spread between prisons and nearby communities. The verdict was clear.
Previous studies found coronary artery bypass grafting (CABG) to be cost-effective compared with percutaneous coronary intervention (PCI), but new research led by SHP's Mark Hlatky shows their comparative effectiveness and economic outcomes may have changed.
The manhunt and arrest of the suspected murderer of UnitedHealthcare's CEO fueled a viral media circus that proved irresistible for some Bay Area comics, including Stanford Health Policy PhD candidate Nova Bradford.
Stanford Health Policy researchers address issues of liability risk and the ethical use of AI in health care, making the case for tools that address liability and risk—while making patient safety and concerns a priority.
Peter Piot tells annual Rosenkranz Global Health Policy Research Symposium that being a young researcher among the group of scientists who discovered Ebola led him to a life on the road tackling some of the world's deadliest viruses.
A new Stanford study indicates that millions of individuals in the United States could lose guaranteed, no-cost preventive health services if the U.S. Supreme Court upholds a lower court ruling.
More than one in seven adults in the United States are believed to have chronic kidney disease, with the burden disproportionately impacting Black and Hispanic adults. A new Stanford study suggests a population-wide CKD screening could reduce these disparities.
A new interdisciplinary study reveals regions experiencing armed conflict account for an increasing proportion of all global cancer cases and deaths among children.
Researchers analyzed three decades of sanctions on foreign aid to assess their impact on health. They hope the work can help government officials better understand and address how foreign policy decisions affect the well-being of local populations.
A new study by SHP's Marissa Reitsma and Michelle Mello finds that extending prescription drug rebates to commercial health plans could lead to big savings.
To address a workflow crisis for physicians and improve the patient experience, Stanford Medicine’s Kevin Schulman and colleagues propose a new approach they call digitally enabled care.
