Publications

We developed the Hospital-to-Home-Health Transition Quality (H3TQ) Index for skilled home healthcare (HH) agencies to identify threats to safe, high-quality care transitions in real time.

Despite increased availability of methodologies to identify algorithmic bias, the operationalization of bias evaluation for healthcare predictive models is still limited. Therefore, this study proposes a process for bias evaluation through an empirical assessment of common hospital readmission models.

Jeromie Ballreich and colleagues explore a Cost-effectiveness analysis of a digital diabetes-prevention programme versus an in-person diabetes-prevention programme in people with prediabetes in the United States, in Diabetes, obesity & metabolism.

Phillip Phan and colleagues discuss embracing the use of artificial intelligence in scientific publishing, in the International Journal for Quality in Health Care.

Risa Wolf and colleagues discuss how autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations, in NPJ Digital Medicine.

Alicia Arbaje, Daniel Polsky, and colleagues explore whether end-of-life (EOL) care differs for Medicare beneficiaries in Medicare Advantage (MA) compared to traditional Medicare (TM) in JAMA Health Forum

Tinglong Dai and colleagues write about supply-chain-aware ESG measures in responsible and sustainable operations, as part of the Springer Series in Supply Chain Management.

Catherine K Ettman, Elena Badillo-Goicoechea, and Elizabeth A Stuart in The Journal of Epidemiology and Community Health

Enthusiasm about the promise of artificial intelligence and machine learning in health care must be accompanied by oversight and remediation of any potential adverse effects on health equity goals that these technologies may create. We describe five equity imperatives for the use of AI/ML in health care that require attention from health care professionals, developers, and policymakers.

Telemedicine has emerged as a vital healthcare delivery model, especially pronounced during the COVID-19 pandemic. Our study uniquely focuses on an institutional lens, examining US hospitals to offer targeted policy implications.