A burgeoning mental health crisis is emerging globally, regardless of each country's human
resources or spending. We argue that effectively responding to this crisis is impeded by the …

Reinforcement learning (RL) can assist in medical decision making using patient data
collected in electronic health record (EHR) systems. RL, a type of machine learning, can use …

Background Healthcare providers play a critical role in facilitating patient access to medical
cannabis. However, previous surveys suggest only a minority of providers believe that …

Background Studies suggest that black patients have better interactions, on average, with
physicians of their own race. Whether this reflects greater “cultural competence” in race …

Decision making is one of the most complex skills required of an oncologist and is affected
by a broad range of parameters. For example, the wide variety of treatment options, with …

The prevalence of multiple chronic conditions (MCC) is increasing among individuals of all
ages. MCC are associated with poor health outcomes. The presence of MCC has profound …

The article focuses on the search of professional consensus in low-value medical care
definition and reduction in Australia. Topics discussed include the low value of care that has …

The use of multiple medicines, known as polypharmacy, poses a risk of harm that is greatest
in older adults with multimorbidity. Deprescribing aims to improve health outcomes through …

Objective Social media has fundamentally changed how the world shares and receives
information. This review offers a perspective for the practicing clinician regarding how …

Objective To understand clinicians' beliefs about practice variation and how variation might
be reduced. Methods We surveyed board-certified physicians (N= 178), nurse practitioners …