VIDEO: Can AI support infection prevention and surveillance?
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SAN ANTONIO — Natural language processing and other branches of AI are already being investigated for use in drug selection and diagnosis, and now researchers have found that AI may also help in infection prevention and surveillance.
According to experts, ID is having a “Wild West” moment with AI as clinicians and researchers experiment to find the best uses for delivering care. Studies show that AI agents available to the public already can provide reliable information on vaccines and sexually transmitted infections.
We caught up with Ruth Carrico, PhD, DNP, APRN, CIC, a family nurse practitioner and infection preventionist, at this year’s meeting of the Association for Professionals in Infection Control and Epidemiology after her presentation on AI’s potential to “enhance, expand and propel” health care-associated infection prevention and surveillance.
Carrico also presented results from a study that showed AI models could accurately identify central line-associated bloodstream infections and catheter-associated UTIs when given clear prompts.
“Our hope is that through this simple experiment ... that we’ll be able to work with industry partners who are interested in exploring AI for this purpose,” Carrico says in the above video.
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