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应用医学新质生产力辅助基层医院筛查和诊断早期肺癌

Apply new quality production forces in medicine to assist grassroots hospitals in screening and diagnosing early-stage lung cancer

白春学1*,韦 球2,魏雪梅3,朱文思1,胡 洁1

1. 复旦大学附属中山医院呼吸与危重症医学科,上海 200032
2. 南宁市第一人民医院呼吸内科,南宁 530000
3. 新疆维吾尔自治区人民医院呼吸与危重症医学科,乌鲁木齐 830001


[作者简介] 白春学,教授、主任医师 . 

* 通信作者(Corresponding author). Tel: 021-64041990, E-mail: bai.chunxue@zs-hospital.sh.cn

[收稿日期] 2024-09-20 [接受日期] 2024-09-29 [发表日期] 2024-09-30


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作者贡献 白春学:选题、撰写、修改、定稿;韦球、魏雪 梅、朱文思、胡洁:撰写,修改,检索参考文献,绘制图片。

DOI: https://doi.org/10.61189/690584dnrdza

摘要/Abstract

基层医院在肺癌早期筛查与诊断中扮演着举足轻重的角色。这不仅能够大幅提升患者的生存与治愈率,更能显著改善其生活质量,同时减轻医疗体系的负担,优化资源配置,进而推动相关医疗产业和经济的同步发展。然而,当前基层医院在肺癌筛查与早诊方面仍面临多重挑战。设备技术落后、人员水平参差不齐、资源分配不均、患者认知不足以及政策支持不 够等问题尤为突出。为了克服这些难题,我们需要从多个维度入手,包括更新医疗设备、加强人员培训、优化资源分配、提升患者教育水平以及争取更多的政策支持。

Primary hospitals play a crucial role in early screening and diagnosis of lung cancer. This not only significantly  improves the survival and cure rates of patients, but also greatly enhances their quality of life, reduces the burden on the healthcare  system, optimizes resource allocation, and promotes the synchronous development of related medical industries and the economy. However, primary hospitals still face multiple challenges in lung cancer screening and early diagnosis. Issues such as outdated  equipment and technology, uneven levels of personnel, unequal distribution of resources, lack of patient awareness, and insufficient  policy support are particularly prominent. To overcome these challenges, we need to address them from multiple dimensions, including  updating medical equipment, enhancing personnel training, optimizing resource allocation, improving patient education levels, and  seeking more policy support.

关键词/Keywords: 肺结节;肺癌;基层医院;筛查;诊断;人工智能 / pulmonary nodules; lung cancer; primary hospital; screening; diagnosis; artificial intelligence

白春学,韦 球,魏雪梅,等 . 应用医学新质生产力辅助基层医院筛查和诊断早期肺癌[J]. 元宇宙医学,2024,1(3):36-40. 

BAI C X,WEI Q,WEI X M,et al. Apply new quality production forces in medicine to assist grassroots hospitals in screening and  diagnosing early-stage lung cancer[J]. Metaverse Med, 2024, 1(3):36-40.

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