Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

• Autori principali: Zhe He (Autore), Balu Bhasuran (Autore), Qiao Jin (Autore), Shubo Tian (Autore), Karim Hanna (Autore), Cindy Shavor (Autore), Lisbeth Garcia Arguello (Autore), Patrick Murray (Autore), Zhiyong Lu (Autore)
• Natura: Libro
• Pubblicazione: JMIR Publications, 2024-04-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

BackgroundAlthough patients have easy access to their electronic health records and laboratory test result data through patient portals, laboratory test results are often confusing and hard to understand. Many patients turn to web-based forums or question-and-answer (Q&A) sites to seek advice fr...