Enhancing Expert Panel Discussions in Pediatric Palliative Care: Innovative Scenario Development and Summarization With ChatGPT-4
Mohammed Almazyad, Fahad Aljofan, Noura Abouammoh, Ruaim Muaygil, Khalid H. Malki, Fadi Aljamaan, Abdullah Alturki, Tareq Alayed, Saleh S Alshehri, Abdullah Alrbiaan, Mohammed Alsatrawi, Hazar A Temsah, Fahad Alsohime, Ali Alhaboob, Majed Alabdulhafid, Amr Jamal, Khalid Alhasan, Ayman Al‐Eyadhy, Mohamad‐Hani Temsah
Abstract
This study presents a novel approach to enhance expert panel discussions in a medical conference through the use of ChatGPT-4 (Generative Pre-trained Transformer version 4), a recently launched powerful artificial intelligence (AI) language model. We report on ChatGPT-4's ability to optimize and summarize the medical conference panel recommendations of the first Pan-Arab Pediatric Palliative Critical Care Hybrid Conference, held in Riyadh, Saudi Arabia. ChatGPT-4 was incorporated into the discussions in two sequential phases: first, scenarios were optimized by the AI model to stimulate in-depth conversations; second, the model identified, summarized, and contrasted key themes from the panel and audience discussions. The results suggest that ChatGPT-4 effectively facilitated complex do-not-resuscitate (DNR) conflict resolution by summarizing key themes such as effective communication, collaboration, patient and family-centered care, trust, and ethical considerations. The inclusion of ChatGPT-4 in pediatric palliative care panel discussions demonstrated potential benefits for enhancing critical thinking among medical professionals. Further research is warranted to validate and broaden these insights across various settings and cultures.