“And the newer large language models are really able to handle context much better. So we're getting much richer data out of that free text within the electronic medical record.”
Rob Reynolds · FDA Watch · The Rise of Real-World Evidence in Regulatory Strategy, Part 4: RWE in Postmarketing Studies
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What was described
apply newer large language models to extract richer contextual data from free-text electronic medical records
Said nearby on the same subject
“If you can get that information and you can turn that unstructured data into semi-structured data and connect it to the prediction, then you can use the storytelling power of the large language models”
“What we tried to do is, you know, using large language models and AI, we tried to really ground probability of success in an empiric data set, where we use Bayesian statistics.”
“In Canada, U.S., you also have like these electronic data devices, electronic for logging hours. You're able to push messages through there for anything.”
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Said on The Site Shed | #1 Podcast For Tradies & Contractors
“Now, what that meant was Matt asking his large language model for a one or two page story about the student as a garbage truck. And he added prompts for comprehension questions.”