所院融合下肿瘤专科医院科技创新能力提升路径研究
Research on Pathways for Enhancing Scientific and Technological Innovation Capacity in Specialized Cancer Hospitals under Institution-Hospital Integration
投稿时间:2025-08-18  修订日期:2025-09-25
DOI:
中文关键词:  所院融合  肿瘤专科医院  科技创新模式  fsQCA  路径分析
英文关键词:institution-hospital integration  specialized cancer hospitals  scientific and technological innovation model  fsQCA  pathway analysis
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)
作者单位邮编
娄懿 浙江省肿瘤医院 310022
潘柯蓉 浙江省肿瘤医院 310022
徐哲伟 中国科学院杭州医学研究所 310018
高颜超 中国科学院杭州医学研究所 310018
陈蕾 浙江省肿瘤医院 310018
裘燕飞* 浙江省肿瘤医院 310022
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中文摘要:
      目的:院地合作是科研院所科技推广的重要平台,中国科学院杭州医学研究所自成立起即与浙江省肿瘤医院开展所院融合共建模式,成为院地合作又一典型代表与运行案例。本文以医院科技创新实际出发,解析所院融合模式下肿瘤专科医院科技创新能力提升的核心要素以及研究型肿瘤中心发展的多元路径。方法:以全国13家知名肿瘤专科医院科技创新数据为样本,使用模糊集定性比较分析法(fsQCA),分析现阶段影响各肿瘤专科医院创新活力的多维并发因素,对不同路径组态情况进行探讨。结果:通过fsQCA方法得出影响13家肿瘤专科医院科技创新能力提升的6个组态分布,其中组态1非高国家级科研平台和高两院院士存量为核心条件下的组合优势符合所院融合以来科技效率提升的核心因素。结论:所院融合发展模式短期内对医院的科技创新能力快速提升有明显作用,但在长远发展所需的高能级科技人才、科研平台、标志性成果等综合实力方面,与北京、广州等地的肿瘤专科医院相比仍存在不足。根据研究结果提出资源共享深度化、人才流动制度化、科研合作全面化、激励政策精准化等6项提升举措建议。
英文摘要:
      Objective: Purpose:Institutional-regional collaboration serves as a vital platform for science and technology dissemination by research institutions.Since its establishment, the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, has been working in collaboration with Zhejiang Cancer Hospital in a model of integration and co-construction between the institute and the hospital, becoming another typical representative and operational case of cooperation between research institutions and local authorities. Based on the practical realities of technological innovation in hospitals, this paper analyzes the core elements for enhancing the scientific and technological innovation capacity of specialized cancer hospitals under the institution-hospital integration model, as well as the diversified pathways for developing research-oriented cancer centers. Methods: Using scientific and technological innovation data from 13 renowned specialized cancer hospitals nationwide as samples, this study employs fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the multidimensional concurrent factors influencing the innovation vitality of these hospitals at the current stage, and explores different configuration pathways. Results:The fsQCA method identified six configuration patterns affecting the enhancement of scientific and technological innovation capacity across the 13 specialized cancer hospitals. Among these, Configuration 1-characterized by the combinatorial advantage of non-high-level national research platforms combined with high-level CAS and CAE Academicians-aligns with the core factors driving improved scientific efficiency since institution-hospital integration. Conclusion:The institution-hospital integrated development model significantly boosts hospitals" scientific and technological innovation capacity in the short term. However, compared to specialized cancer hospitals in provinces like Beijing and Guangzhou, it still exhibits deficiencies in comprehensive strengths essential for long-term development, such as high-level scientific talents, advanced research platforms, and landmark achievements. Based on the findings, six enhancement measures are proposed.
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