Record Matching for a Large Master Client Index at the New York City Health Department

Executive Summary/Abstract: The New York City Department of Health and Mental Hygiene has a pressing need to accurately identify individuals for a variety of public health purposes. This led to the construction of the Master Client Index (MCI). The system offers a department-wide service that provides fast, real-time processing of incoming medical records to determine whether the individual is already present in the database, needs to be added to the database, or requires human intervention to determine whether the person is present. The talk will focus on how ChoiceMaker Technologies customized its machine learning-based ChoiceMaker 2.3 software to provide the MCI’s core matching capability. Andrew Borthwick ChoiceMaker Technologies