Across his career, Dr. Hanauer’s work has helped discover tens of millions of dollars in healthcare savings through enterprise AI initiatives, including causal inference models identifying millions of dollars in population health management savings. He helped developed an agentic genAI healthcare advisor and retrieval-augmented generation-based rules conflict tools that reduced manual labor by orders of magnitude and pioneered a medical coding embedding approach that contributed to continued improved model accuracy. At MedeAnalytics, his leadership has been instrumental to implementing machine learning standards and launching multiple, scalable AI products. Dr. Hanauer has championed AI projects that have created machine learning models for hepatocellular carcinoma, chronic conditions and denial predictions that revealed additional millions of dollars in savings. His work includes highly accurate suicide attempt prediction algorithms, explainable AI analyses identifying significant payer savings and transformer-based natural language processing models that enhanced patient experience analytics. Dr. Hanauer boasts over 30 healthcare publications, more than four patents pending and various leadership roles in AI governance.
