Summary of Real-world Deployment and Evaluation Of Perioperative Ai Chatbot (peach) — a Large Language Model Chatbot For Perioperative Medicine, by Yu He Ke et al.
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) – a Large Language Model Chatbot for Perioperative Medicine
by Yu He Ke, Liyuan Jin, Kabilan Elangovan, Bryan Wen Xi Ong, Chin Yang Oh, Jacqueline Sim, Kenny Wei-Tsen Loh, Chai Rick Soh, Jonathan Ming Hua Cheng, Aaron Kwang Yang Lee, Daniel Shu Wei Ting, Nan Liu, Hairil Rizal Abdullah
First submitted to arxiv on: 24 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed PEACH system utilizes Large Language Models (LLMs) to support preoperative clinical decision-making in healthcare. The study develops and evaluates a secure LLM-based chatbot integrated with local perioperative guidelines, utilizing the Claude 3.5 Sonet LLM framework within Pair Chat. PEACH is tested in a silent deployment using real-world data, assessing accuracy, safety, usability, and user feedback through the Technology Acceptance Model (TAM). The system’s performance is evaluated in terms of potential harm from deviations and hallucinations. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary PEACH is a special kind of computer program that helps doctors make better decisions before surgeries. It uses very smart language models to understand what’s being said and provide helpful answers. This study tested the program with real patient data and found it was accurate, safe, and easy to use. The program also helped doctors follow important guidelines, which can lead to better health outcomes. |
Keywords
» Artificial intelligence » Claude