Contemporary tools such as natural language processing and artificial intelligence (AI) can improve data abstraction's efficiency and effectiveness across registries through automation. In this recent Cardiology article, Andrew Shin, MD, discusses how natural language processing and AI enhance the value proposition for hospitals to participate in current and upcoming registries. This approach can lessen the burden and cost of manual data abstraction, improve access for hospitals to their data, and unlock the true potential of EHRs for quality improvement and clinical research. Read more. Follow Cardiology on Twitter using #CardiologyMag and get the full issue here.