Hadi Kharrazi, MD, PhD, MHI, studies the role of data science, informatics, and predictive models in managing healthcare utilization while improving health outcomes.
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.
In this scoping review, we evaluated the performance of artificial intelligence
(AI) in clinical radiology practice and examined health professionals' perspectives regarding AI use in radiology.
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.
