Actionable Antimicrobial Resistance Dashboards: Enhancing Insights and Versatility through Improved Performance and Analytics
Principal Investigator: Casey Cazer
Co-PI: Cassandra Guarino; Amelia Safi
DESCRIPTION (provided by applicant):
The purpose of this cooperative agreement is to expand an antimicrobial resistance (AMR) dashboard tool, the AMR Data Visualizer. Cornell University and the University of Guelph created the AMR Data Visualizer to allow users to analyze AMR data and share data summaries while maintaining data ownership and privacy. However, the AMR Data Visualizer is a prototype and is not optimized for ease of use or generalizability to other AMR datasets. The goal of this proposal is to make the AMR Data Visualizer user-friendly, fast, versatile, and publicly available. To achieve this ambitious goal, we will work with three new subrecipient partners—Purdue University, the University of Minnesota, and the University of Pennsylvania—to develop regional antibiograms with the AMR Data Visualizer. This beta-testing will enable Cornell University and the University of Guelph, the primary developer, to refine the dashboard in exciting ways. During the award period, we will (i) add additional features, (ii) work with new partners to explore AMR trends in several pathogens, (iii) pilot-test outbreak detection algorithms, and (iv) improve the computational efficiency of the dashboard so that it can analyze big data. Deliverables and outcomes include (i) minimum inhibitory concentration (MIC) metrics, tables, and interpretation functions, (ii) an understanding and comparison of AMR trends for key dog, cat, equine, and cattle pathogens in four states, (iii) an "alpha-version" of an outbreak alert, and, in the end, a publicly available dashboard tool. Cornell University will lead the project, with the four subrecipients playing critical roles. The new subrecipients will pilot test the AMR Data Visualizer, providing critical feedback for dashboard improvement. In the short term, veterinary diagnostic labs, veterinary teaching hospitals, and other owners of animal AMR data will benefit from this project because they will likely be the first users of the new AMR Data Visualizer. In the long term, the AMR Data Visualizer will vastly improve AMR surveillance and antimicrobial stewardship in animals by making local, regional, and national antibiograms available and accessible to antimicrobial stewards and practicing veterinarians worldwide.