{"0f72865d-fe3e-4163-918f-27e7c84781c3": "A medical center’s whole genome sequencing (WGS) surveillance program detected 2 cases of extensively drug-resistant Pseudomonas aeruginosa matching the recent national outbreak associated with contaminated artificial tears. This was made possible through open data sharing of representative outbreak isolate genomes and strain-identifying genetic information provided by the CDC. The authors advocate for more widespread adoption of WGS-based surveillance with open data sharing, to accelerate detection of medical product-related outbreaks.", "8e258b49-53ff-4566-8088-a5161e4a62cc": "Two Artificial Tears Outbreak-Associated Cases of Extensively Drug-Resistant Pseudomonas aeruginosa Detected Through Whole Genome Sequencing–Based Surveillance"}