Daniel is a senior data scientist who conducts research and analysis on a range of public health and health policy topics.
Daniel supports evaluations of novel Center for Medicaid and Medicare Innovation payment models, including ACO REACH, the Next Generation Accountable Care Organization model, and Pennsylvania’s Rural Health Global Budget Model. He also conducts claims analysis and predictive analytics for projects such as the Reducing Health Disparities through Quality Improvement project. Daniel contributes to data quality and production tasks for several of NORC’s claims hosting projects. Daniel has also performed analytics in support of quality improvement and patient safety projects including the American Hospital Association’s Hospital Improvement and Innovation Network (HIIN) and the AHRQ Safety Program for Intensive Care Units: Preventing CLABSI and CAUTI projects.