Publications

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.

Policy makers and insurers promote the use of generic drugs because they can deliver large savings without sacrificing quality. But these efforts meet resistance from the public, who perceive generic drugs as inferior substitutes for brand name counterparts. Building on literature showing that negative emotions reduce risk-taking, the authors hypothesize that receiving bad medical news (i.e., negative information about one’s health) prompts patients to favor brand name over generic drugs as means to safeguard their health. The evidence exploits low-density lipoprotein cholesterol test results, where a discontinuity from clinical guidelines enables the authors to estimate the causal effect of bad medical news.

There is increased acceptance that social and behavioral determinants of health (SBDH) impact health outcomes, but electronic health records (EHRs) are not always set up to capture the full range of SBDH variables in a systematic manner. The purpose of this study was to explore rates and trends of social history (SH) data collection—1 element of SBDH—in a structured portion of an EHR within a large academic integrated delivery system.

We study the effects of changing Medicaid reimbursement rates for primary care services on behavioral health outcomes—defined here as mental illness and substance use disorders.

In August 2022, the US Food and Drug Administration issued the final rule to establish a new category of over-the-counter (OTC) hearing aids. Over-the-counter hearing aids are intended for use by adults with mild-to-moderate hearing loss without the need for an audiologist to adjust and program the device for the user’s level of hearing as is currently done for most conventional hearing aids. One key aspect of the effectiveness of these future OTC hearing aids is provision of the correct level of sound amplification based on the individual’s level of hearing. Thus, a feature to import prior hearing test (audiogram) results into these devices may be an important consideration to ensure optimal amplification of sound.