This is a preview. Log in through your library . Abstract After initially emerging in China, the coronavirus (COVID-19) outbreak has advanced rapidly. The World Health Organization (WHO) has recently ...

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, ...

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.

JOHNSON CITY, Tenn. (WJHL) – Ballad Health is preparing for a worst-case COVID-19 scenario: what to do if the number of patients needing specific types of care exceeds the resources needed to provide ...

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 ...

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 ...

Existing literature on strategies to manage scarce medical resources in a mass casualty event is largely inconclusive, according to a study in Annals of Emergency Medicine. Researchers conducted a ...

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 ...