Background Inappropriate and wasteful use of health care resources is a common problem,
constituting 10–34% of health services spending in the western world. Even though …

Can machine learning improve human decision making? Bail decisions provide a good test
case. Millions of times each year, judges make jail-or-release decisions that hinge on a …

ABSTRACT While Artificial Intelligence (AI) algorithms have achieved performance levels
comparable to human experts on various predictive tasks, human experts can still access …

Physicians, judges, teachers, and agents in many other settings differ systematically in the
decisions they make when faced with similar cases. Standard approaches to interpreting …

Decision makers, such as doctors, judges, and managers, make consequential choices
based on predictions of unknown outcomes. Do these decision makers make systematic …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

Expert performance is often evaluated assuming that good experts have good outcomes. We
examine expertise in medicine and develop a model that allows for two dimensions of …

In medicine, the reasons for variation in treatment rates across hospitals serving similar
patients are not well understood. Some interpret this variation as unwarranted and push …

Motivated by wide cross-sectional variations in intensity of care that are unrelated to quality
of care, researchers and policymakers commonly claim that healthcare providers waste …

We estimate the impact of increased access to telemedicine following widespread adoption
during the March–April 2020 COVID-19 lockdown period. We focus on the post-lockdown …