Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.

The pandemic put a spotlight on the challenges that health systems face when deciding how to allocate scarce resources during a time of crisis. To better understand differing opinions on this issue, ...

Medicine can be an enormous force for good—and that very power raises difficult issues. One issue is figuring out who gets access to that healing power, and why, and when. Organ donation offers a ...

Editor's note: Find the latest COVID-19 news and guidance in Medscape's Coronavirus Resource Center. During surges in COVID-19 infections, the lack of regional, statewide, and national data has made ...

Patient lying on Hospital bed with ventilator mask on her nose. The ASCO document focused on the development of policies for allocating health care resources that also specifically address oncology.

Among the many failures in America’s early COVID-19 disaster response, unprepared federal authorities mismanaged the allocation of emergency medical equipment as the pandemic mushroomed. Decisions by ...

CAMBRIDGE, MA – Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen resumes to choose ...