Publications by authors named "Asad Aali"
Article Synopsis
- Analyzing large amounts of textual data from electronic health records can overwhelm clinicians, affecting their time management.
- This study tested eight large language models (LLMs) on various clinical summarization tasks, finding that their adapted versions performed comparably or better than expert medical summaries in many cases.
- The research indicates that integrating LLMs into clinical processes might reduce documentation workload, helping doctors dedicate more time to patient care.
Article Synopsis
- Large language models (LLMs) show potential in summarizing electronic health records (EHR), but their effectiveness in clinical tasks needed further exploration.
- The study evaluated eight LLMs across various clinical summary tasks and found that the best-adapted models often produced superior summaries compared to human-generated ones.
- Results suggest that using LLMs in clinical settings could reduce the time clinicians spend on documentation, allowing them to focus more on direct patient care.
