{"acf2caae-0773-4eb2-bb10-57a01b19e200": "Ihalferty", "b36780e0-cb72-4402-8bda-d3fd3a8925b0": "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."}