In developer-oriented, marketing, and product roles, Barrett spent the past decade of his career working on AI inference, first at NVIDIA, running and profiling computer vision workloads on Jetson. After three years shoehorning models onto embedded systems powering drones, robots, and surveillance systems, he joined Google Cloud where he first-hand experienced the incredible power of Transformer models running accurate translation workloads on third-generation TPUs. He helped launch Cloud AutoML Vision with Fei-Fei Li and announced the TPU Pod's first entry into the MLPerf benchmark. Most recently, he spent two years at Scale AI working on product strategy and go-to-market for Scale Spellbook, its first LLM inference and fine tuning product. Today, he is Positron's co-founder and VP of Product.
Edward spent most of his adult life trying to build reusable code in imperative languages. He converted to Haskell in 2006 while searching for better building materials. Edward served as the founding chair for the Haskell Core Libraries Committee and continues to collaborate with hundreds of other developers on over three hundred functional programming projects on Github. He previously wrote software for stock exchanges at Standard & Poors, served as a researcher at MIRI, and ran Groq's Software Engineering team. As Positron's CTO, today he sets long-term software, architecture, and optimization strategy.
CEU Eligibility: COC, CPC, CPC-P, CPB, CPPM
Over the last few years there have been many cases of hospitals receiving inappropriate reimbursement for medical procedures. This session will focus on the procedures associated with these cases, including diagnostic and therapeutic procedures for access sites of dialysis patients, peripheral vascular patients and a variety of surgical procedures. We will explore these cases and discuss the characteristics and scenarios that lead to inappropriate reimbursement.
Learning Objectives:
-Through the case study approach, examine specific types of hospital procedures that have been associated with inappropriate reimbursement
-Explore methods for preventing, detecting and correcting errors leading to inappropriate reimbursement for these procedures.
