What are the benefits of using large language models in electronic health records?

Large language models have proven to be immensely beneficial in electronic health records (EHRs). These models have the ability to process vast amounts of medical information and extract meaningful insights from raw data. One key advantage is their ability to accurately convert unstructured clinical notes into structured data, making it easier to analyze and draw conclusions. Additionally, large language models can enhance clinical decision support systems by providing clinicians with relevant information and recommendations at the point of care. They can also aid in medical coding and billing by automating the process and reducing errors. Furthermore, these models can improve patient engagement and health outcomes through personalized care plans generated based on predictive analytics. Overall, the utilization of large language models in EHRs has the potential to streamline healthcare operations, enhance clinical decision-making, and ultimately improve patient care.
This mind map was published on 25 July 2023 and has been viewed 63 times.

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