243: When AI Meets Medicine
Show notes
Artificial intelligence is changing how healthcare professionals access and use clinical information. But what does that look like at the point of care?
In this episode of Let's Talk Micro, Luis is joined by Dr. Declan Kelly, physician, software engineer, and founder of Eolas Medical, to discuss the role of AI in clinical decision support. Dr. Kelly shares how challenges accessing institutional guidelines and clinical knowledge led to the development of Eolas Medical and how AI can help healthcare professionals find the information they need when making clinical decisions.
The conversation explores the importance of local guidelines, the connection between the clinical microbiology laboratory and antimicrobial stewardship, and how AI can help bridge the gap between laboratory data, institutional knowledge, and patient care. They also discuss evidence supporting these technologies, concerns surrounding AI hallucinations and clinical safety, and how clinical decision support may evolve in the years ahead.
Tune in to learn how AI is changing the way clinical knowledge is accessed and what that could mean for the future of healthcare.
This episode is brought to you in collaboration with Eolas Medical.
Eolas Medical is a clinical knowledge platform founded by physician Dr. Declan Kelly, who saw firsthand how hard it can be to find trusted guidance at the point of care. Using AI grounded exclusively in an organization's own approved protocols and guidelines, Eolas gives clinicians fast, accurate answers instead of generic search results. It is used across 90% of acute NHS trusts and 600+ sites globally, including Stanford and Mass General Brigham. For antimicrobial stewardship, a peer-reviewed study published in Nature Portfolio's npj Antimicrobials and Resistance found prescribing accuracy improved from 47% to 100% with Ask Eolas at the point of care.
Resources
Eolas Medical: https://www.eolasmedical.com/
Study — Enhancing quality of antimicrobial prescribing through 'Ask Eolas' (language model): a user-testing and simulation evaluation: https://www.nature.com/articles/s44259-026-00187-7
Summary of study: Eolas Medical — Summary of the study and implications for antimicrobial stewardship
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