Improving the patient experience: LLMs for results interpretation and discharge paperwork
The goal of the project led by Stanford University is to develop a fully automated and scalable approach for optimizing large language model medical chatbots as well as clinician-grade evaluation of the results, for patient-facing use cases. Immediate use cases include the evaluation of a chatbot to help patients understand imaging results and a chatbot to aid patients in understanding instructions after hospital discharge.