Generative AI and large language models in health care: pathways to implementation.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 38454007.
- Also identified by DOI 10.1038/s41746-023-00988-4 and PMC identifier 10920625.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to many different sectors. Within healthcare there has been innovation specifically towards generative AI models trained on electronic medical record data. A recent review characterizes these models, their strengths, and weaknesses. Inspired by that work, we present our evaluation checklist for generative AI models applied to electronic medical records.