Summary of Piors: Personalized Intelligent Outpatient Reception Based on Large Language Model with Multi-agents Medical Scenario Simulation, by Zhijie Bao et al.
PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation
by Zhijie Bao, Qingyun Liu, Ying Guo, Zhengqiang Ye, Jun Shen, Shirong Xie, Jiajie Peng, Xuanjing Huang, Zhongyu Wei
First submitted to arxiv on: 21 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents the Personalized Intelligent Outpatient Reception System (PIORS), an AI-powered system designed to improve service quality and efficiency in outpatient settings. PIORS integrates a large language model (LLM) with a hospital information system, aiming to deliver personalized care to each patient. To enhance the performance of LLMs in real-world healthcare scenarios, the authors propose a data generation framework named Service Flow aware Medical Scenario Simulation (SFMSS). The effectiveness of PIORS and SFMSS is evaluated through automatic and human assessments, involving 15 users and 15 clinical experts. The results demonstrate that PIORS-Nurse outperforms all baselines, including GPT-4o, and aligns with human preferences and clinical needs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary PIORS aims to help receptionist nurses in China by providing a personalized AI-powered system for outpatient care. This system uses language models to understand patient needs and provide efficient services. To make this system better, the authors created a way to generate medical data that is similar to real-life scenarios. They tested their system with 15 people who use it regularly and 15 clinical experts. The results show that PIORS works well and provides good care to patients. |
Keywords
» Artificial intelligence » Gpt » Large language model
