| 娄 懿,潘柯蓉,徐哲伟,等.院地合作驱动肿瘤专科医院科技创新能力提升路径研究：基于 13 家医院的fsQCA分析与浙江省肿瘤医院实践[J].中国肿瘤,2026,35(1):63-68. |
| 院地合作驱动肿瘤专科医院科技创新能力提升路径研究：基于 13 家医院的fsQCA分析与浙江省肿瘤医院实践 |
| Research on Enhancing Scientific and Technological Innovation Capacity of Specialized Cancer Hospitals Driven by Institution-Local Cooperation—Analysis Based on fsQCA of 13 Hospitals and Practice of Zhejiang Cancer Hospital |
| 投稿时间：2025-08-18 |
| DOI：10.11735/j.issn.1004-0242.2026.01.A009 |
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| 中文关键词: 院所融合 肿瘤专科医院 科技创新模式 模糊集定性比较分析法 路径 |
| 英文关键词:institution-hospital integration specialized cancer hospitals scientific and technological innovation model fuzzy-set qualitative comparative analysis pathway |
| 基金项目:浙江省教育厅一般科研项目（Y202249456）；浙江省科技厅软科学研究计划一般项目（2025C35089） |
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| 中文摘要: |
| 摘 要：［目的］ 分析肿瘤专科医院科技创新能力提升的核心要素，并以浙江省肿瘤医院院所融合模式为例，探索院地合作模式下肿瘤专科医院发展的多元路径。［方法］ 选取全国13家知名三甲肿瘤专科医院为样本，收集各单位2023年中国医院科技量值（Science and Technology Evaluation Metrics， STEM）填报数据，采用模糊集定性比较分析法（fuzzy-set qualitative comparative analysis， fsQCA），解析影响创新活力的多维并发因素及科技创新能力提升的组态路径。［结果］ 单一因素必要性分析显示，所选5个条件变量（国家级科研平台、国家自然科学基金等）均不构成高水平/非高水平科技创新能力（technological innovation capacity， TIC）的必要条件（一致性均<0.9）；通过fsQCA识别出6条组态路径，其中4条为高水平TIC路径、2条为非高水平TIC路径，且组态1（非高国家级科研平台+高两院院士存量）与浙江省肿瘤医院院所融合后的创新特征高度契合，印证顶尖人才对弥补平台短板的关键作用。稳健性检验［调整一致性阈值至0.9、不一致性的比例减少（proportional reduction in inconsistency，PRI）一致性阈值至0.7］显示结果可靠。［结论］ 院所融合模式可短期内显著提升肿瘤专科医院科技创新能力，浙江省肿瘤医院的实践为缺乏高能级科研平台的同类医院提供了“人才驱动”的有效路径，但该院在顶级成果产出、重大平台建设等长期核心要素上仍有提升空间；基于13家医院的组态规律与该院实践，提出资源共享深度化、人才流动制度化等针对性举措，为院地合作医院的创新能力持续提升提供支撑。 |
| 英文摘要: |
| Abstract：［Purpose］ To analyze the core elements for enhancing the scientific and technological innovation capacity of specialized cancer hospitals， and taking the institution-hospital integration model of Zhejiang Cancer Hospital as an example， explore the diversified development pathways of specialized cancer hospitals under the institution-local cooperation model. ［Methods］ 13 well-known Grade A tertiary specialized cancer hospitals nationwide were selected as samples. Data from the 2023 Science and Technology Evaluation Metrics (STEM) of these hospitals were collected， and fuzzy-set qualitative comparative analysis (fsQCA) was adopted to analyze the multidimensional concurrent factors affecting innovation vitality and the configuration pathways for improving scientific and technological innovation capacity. ［Results］ The necessity analysis of single factors showed that none of the 5 selected conditional variables (including national-level research platforms and National Natural Science Foundation of China) constituted a necessary condition for high-level/non-high-level technological innovation capacity (TIC) (all consistency values were <0.9). A total of 6 configuration pathways were identified through fsQCA， among which 4 were high-level TIC pathways and 2 were non-high-level TIC pathways. Specifically， Configuration 1 (non-high national-level research platforms + high stock of academicians of the Chinese Academy of Sciences and Chinese Academy of Engineering) was highly consistent with the innovation characteristics of Zhejiang Cancer Hospital after institution-hospital integration， confirming the key role of top talents in making up for the shortage of platforms. The robustness test， which involved adjusting the consistency threshold to 0.9 and the proportional reduction in inconsistency(PRI) consistency threshold to 0.7， verified the reliability of the results. ［Conclusion］ The institution-hospital integration model can significantly enhance the scientific and technological innovation capacity of specialized cancer hospitals in the short term. The practice of Zhejiang Cancer Hospital provides an effective “talent-driven” pathway for similar hospitals lacking high-level research platforms； however， the hospital still has room for improvement in long-term core elements such as top-tier achievement output and major platform construction. Based on the configuration rules of the 13 hospitals and the practice of Zhejiang Cancer Hospital， targeted measures (including deepening resource sharing and institutionalizing talent flow) are proposed to support the sustained improvement of innovation capacity for hospitals under institution-local cooperation. |
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