Case Study: NewYork–Presbyterian tracks and contains infection spread with Neo4j

NYP Advances Analysis to Track Infections with Neo4

NewYork–Presbyterian Hospital (NYP), a top-ranked academic medical center, needed to track how infections spread across its facilities but struggled to combine spatial (where) and temporal (when) event data to identify who was exposed and where transmission occurred.

Using Neo4j, NYP built time and location trees and added an event entity with start/end timestamps to link space and time, then ran graph algorithms (including community detection) on the resulting network. The solution enabled effective monitoring and containment by pinpointing critical connection points, produced a reusable model for other event analyses, and positioned the team to extend analysis to patient-level tracking and broader clinical use cases.

NewYork–Presbyterian

Michael Zelenetz

Analytics Project Leader