Publications

Abstract Objective: This study aimed to determine the influence of structural racism, vis-à-vis neighborhood socioeconomic trajectory, on colorectal and breast cancer diagnosis and treatment.

Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision.

Are Medicare Advantage plans’ provider networks associated with beneficiaries’ receiving care from primary care clinicians with lower rates of avoidable hospital stays?

This article is the latest in the Health Affairs Forefront series, Provider Prices in the Commercial Sector, featuring analysis and discussion of physician, hospital, and other health care provider prices in the private-sector markets and their contribution to overall spending therein.

Since the 2007 landmark report on Preventing Medication Errors from the US National Academy of Medicine, effective interventions have been developed to address medication errors.1 Despite this, medication errors persist as the most common source of harm for patients worldwide.2 In hospitals, adverse drug events are the most common adverse events, accounting in one large study for 39% of all events.3 Medication errors in ambulatory care settings are also an ongoing patient safety challenge.4

As artificial intelligence (AI) applications become more pervasive, it is critical to understand how knowledge workers with different levels and types of experience can team with AI for productivity gains. We focus on the influence of two major types of human work experience (narrow experience based on the specific task volume and broad experience based on seniority) on the human-AI team dynamics.

We use data from a long-running experiment in which American Indian households received income transfers from a casino while other households did not

Public pay-for-performance (P4P) programs tie hospital payments to predetermined sets of quality measures and are intended to encourage or discourage certain outcomes

Diagnostic effort, diagnostic testing, physician payment, healthcare operations management, artificial intelligence

Artificial intelligence and machine learning (AI/ML) applications in healthcare could have algorithmic biases that perpetuate health disparities.