Our Work

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.

HBHI convened an expert panel at the Hopkins Bloomberg Center in Washington, D.C. to discuss how the healthcare industry at large and providers at the grassroots level are working to bring about change.

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.