US EditionHow AI Can Make Infectious Disease Surveillance Smarter, Faster, and More Useful
VIRGINIA, UNITED STATES, AUG 08 – Artificial intelligence helps public health agencies detect infectious disease threats earlier and improve decision-making despite funding cuts, experts say AI can enhance data accuracy and speed.
- Amid budget cuts, health departments could leverage AI systems to maintain and improve infectious disease surveillance despite relying on error-prone platforms.
- Under current systems, surveillance relies on manual steps and many reports still arrive via fax or phone, requiring personnel to review, clean, and code data, delaying detection.
- Using natural language processing systems, AI can scan lab reports to extract pathogen details, test info, and patient identifiers, streamlining surveillance data processing.
- By leveraging advanced AI, health agencies can improve analysis, visualization, and detection of surveillance data for faster public health responses.
- Partnerships between public health experts, AI developers, and policymakers will be key to integrating validated, adaptable AI tools for faster disease surveillance.
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How AI can make infectious disease surveillance smarter, faster, and more useful | News Channel 3-12
MUNGKHOOD STUDIO // Shutterstock How AI can make infectious disease surveillance smarter, faster, and more useful Public health agencies are under pressure to move faster, detect threats earlier, and make better decisions, even as their funding is cut and their authority reduced. While most public health agencies will have to do less with less, artificial intelligence systems provide an opportunity to maintain and possibly improve performance in…
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Leaning Left0Leaning Right1Center12Last UpdatedBias Distribution92% Center
Bias Distribution
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