秦金华, 刘超毅, 洪源, 曾嘉慧. AIGC全病程消息推送平台在肿瘤手术室的应用. 2024. biomedRxiv.202412.00036
AIGC全病程消息推送平台在肿瘤手术室的应用
通讯作者: 曾嘉慧, zengjiahui@hnca.org.cn
DOI:10.12201/bmr.202412.00036
Application of AIGC Whole Process Message Push Platform In Operating Room of Cancer Hospital
Corresponding author: ZENG Jiahui, zengjiahui@hnca.org.cn
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摘要:目的:该研究旨在探讨基于生成式人工智能技术(AIGC)的即时信息通讯系统在肿瘤手术中的应用,并评估其对提高病理检查结果传输效率、优化术前、术中和术后管理,以及提升患者满意度等方面的效果。方法:本研究通过构建一个涵盖医院内多信息系统的大数据平台,依托零信任网络安全体系框架,利用AIGC技术构建全病程消息互通平台。具体方法包括采用自然语言处理技术进行结构化数据清洗与分类,通过智能消息推送平台提供实时的信息传递服务,提高医护人员决策支持及患者全程管理水平。结果:使用AIGC全病程消息推送平台,该医院现有问题得到显著改善,包括传统传真方式存在的信息延迟、不准确、安全隐患以及低效管理等问题。数据显示,在部署该平台后,冰冻切片报告的传递速度从原先平均5分钟降低至1秒以内,同时回撤率降至0.1%以下。此外,每月耗材A4纸张数量大幅减少,医患沟通时间缩短了89%,患者满意度大幅提升。结论:基于生成式人工智能技术的即时信息通讯增强了肿瘤手术室内外的信息流转能力,有效缓解家属焦虑情绪,提高了医生决策效率及准确性。本成果表明利用先进的数据治理和AI技术,不仅优化了诊疗流程,还为智慧医疗建设提供了一条切实可行的发展路径,并具有广泛推广价值。
Abstract: Objective:The purpose of this study is to explore the application of the Instant Information Communication System based on Generative Artificial Intelligence Technology (AIGC) in tumor surgery,and to evaluate its effects on improving the efficiency of pathology examination result transmission,optimizing preoperative,intraoperative,and postoperative management,as well as enhancing patient satisfaction. Methods:This study constructed a big data platform covering multiple information systems within the hospital and utilized a zero-trust network security framework to build a comprehensive disease course messaging platform based on AIGC technology. Specific methods included using natural language processing for structured data cleansing and classification, providing real-time information transmission services through an intelligent message push platform to enhance decision support for medical staff and overall patient management. Results:With the use of the AIGC comprehensive disease course messaging platform, significant improvements were observed in the existing issues at the hospital, including information delay, inaccuracy, security risks,and inefficient management associated with traditional fax transmission. Data showed that following the deployment of this platform, the transmission speed of frozen section reports decreased from an average of 5 minutes to less than 1 second, while the retracement rate fell below 0.1%.Additionally,the monthly consumption of A4 paper was significantly reduced, the communication time between medical staff and patients has been reduced by 89%, patient satisfaction has increased significantly. Conclusion:The use of Generative Artificial Intelligence Technology-based instant information communication has enhanced the information flow capacity inside and outside the tumor surgery room, effectively alleviating family anxiety and improving the efficiency and accuracy of medical decision-making. This achievement indicates that the use of advanced data governance and AI technology not only optimizes the diagnosis and treatment process but also provides a practical development path for smart healthcare construction, with extensive promotional value.
Key words: Generative Artificial Intelligence (AIGC),instant reporting, reduction of mortality risk, hospital-level unified big data platform, comprehensive health solutions.提交时间:2024-12-13
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序号 提交日期 编号 操作 1 2024-11-14 bmr.202412.00036V1
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