Tools and challenges in the use of routine clinical data for antimicrobial resistance surveillance
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View abstract on PubMed
Summary
This summary is machine-generated.Utilizing routine clinical microbiology data for antimicrobial resistance (AMR) surveillance faces challenges in data quality and availability. Open-source solutions and standardized data are needed for effective hospital and public health surveillance.
Area Of Science
- Clinical Microbiology
- Public Health Surveillance
- Data Science
Background
- Routine clinical microbiology data are crucial for antimicrobial resistance (AMR) surveillance.
- Current data availability and quality present significant challenges for effective surveillance.
- Utilizing existing data streams can enhance AMR monitoring efforts.
Purpose Of The Study
- To explore technical challenges in using routine data for AMR surveillance.
- To summarize emerging open-source technical solutions for data management.
- To highlight the need for data standards and improved surveillance tools.
Main Methods
- Perspective-based analysis of current data utilization in AMR surveillance.
- Review of technical challenges in data collection, aggregation, and sharing.
- Identification and summary of open-source solutions for hospital-level data.
Main Results
- Significant technical hurdles exist in leveraging routine data for AMR surveillance.
- Open-source tools offer potential solutions for data collection, aggregation, and sharing.
- A need for standardized data formats and integrated surveillance tools is evident.
Conclusions
- Addressing data quality and availability is essential for effective AMR surveillance.
- Open-source technologies can facilitate improved data management and sharing.
- Standardized data and integrated tools are critical for both facility-level and public health surveillance.
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