Navigating the network: A narrative overview of AMR surveillance and data flow in the United States
Antimicrobial Stewardship and Healthcare Epidemiology, ISSN: 2732-494X, Vol: 4, Issue: 1, Page: e55
2024
- 2Citations
- 15Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations2
- Citation Indexes2
- Captures15
- Readers15
- 15
- Mentions1
- News Mentions1
- News1
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Researchers' from University of Utah School of Medicine Report Details of New Studies and Findings in the Area of Information Technology (Navigating the network: a narrative overview of AMR surveillance and data flow in the United States)
2024 MAY 08 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Drug Daily -- Current study results on information technology have been published.
Review Description
The antimicrobial resistance (AMR) surveillance landscape in the United States consists of a data flow that starts in the clinical setting and is maintained by a network of national and state public health laboratories. These organizations are well established, with robust methodologies to test and confirm antimicrobial susceptibility. Still, the bridge that guides the flow of data is often one directional and caught in a constant state of rush hour that can only be refined with improvements to infrastructure and automation in the data flow. Moreover, there is an absence of information in the literature explaining the processes clinical laboratories use to coalesce and share susceptibility test data for AMR surveillance, further complicated by variability in testing procedures. This knowledge gap limits our understanding of what is needed to improve and streamline data sharing from clinical to public health laboratories. Successful models of AMR surveillance display attributes like 2-way communication between clinical and public health laboratories, centralized databases, standardized data, and the use of electronic health records or data systems, highlighting areas of opportunity and improvement. This article explores the roles and processes of the organizations involved in AMR surveillance in the United States and identifies current knowledge gaps and opportunities to improve communication between them through standardization, communication, and modernization of data flow.
Bibliographic Details
Cambridge University Press (CUP)
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