论文题名(中文): | 医学技术经理人胜任力模型及培养模式研究 |
姓名: | |
论文语种: | chi |
学位: | 硕士 |
学位类型: | 学术学位 |
学校: | 北京协和医学院 |
院系: | |
专业: | |
指导教师姓名: | |
论文完成日期: | 2025-05-31 |
论文题名(外文): | Research on the Construction of Competency Model and Cultivation Mode for Medical Technology Managers |
关键词(中文): | |
关键词(外文): | Medical Technology Managers Technology Transfer Competency Model Talent Development |
论文文摘(中文): |
目的:科技成果转化是实现学术价值向经济价值转化的必经之路,我国从中央到地方已建立系统的科技成果转化政策体系和激励机制,但是由于其专业特点,医学科技成果转化仍面临技术壁垒高,转化周期长,失败风险高等困难。同时,大量研究表明医学专业转化人才的缺失和能力的不足是医学科技成果转化率低的主要原因之一。本研究将通过广泛征求医学科技成果转化过程中的利益相关者的意见,基于真实需求构建医学技术经理人胜任力模型;并学习和总结国内外医学科技成果转化人才培养经验,通过理论和实践研究,为我国培养医学科技成果转化人才提出优化建议。 方法:首先,本文将通过文献研究法了解和梳理当前国内外科技成果转化人才的研究现状,总结目前已有研究针对“科技成果转化人才”“技术经理人”等相关主题的研究方向并识别其存在的不足,为构建医学技术经理人胜任力模型和医学技术转移人才培养模式研究提供理论基础。第二,本文将通过半结构化访谈法广泛访谈科技成果转化过程中的利益相关者,积累原始材料,之后通过扎根理论法对访谈文本资料进行编码,通过三级编码构建出医学技术经理人胜任力模型;通过问卷调查法为理论模型的二级指标赋权。第三,本文将通过嵌入型多案例研究法,从培养目标、课程设置、参与项目、职业规划四个方面进行案例研究,对比国内外四个技术转移人才的硕士培养项目,总结科技成果转化人才培养方面的经验。 结果:(1)研究构建出的医学技术经理人的胜任力模型的内涵包括知识、技能、自我概念、特质和动机共5个核心范畴,它们又可分为10个主范畴和50个副范畴。其中知识范畴包括技术知识储备、行业知识储备、市场知识储备;技能范畴包括技术资产运营能力、商业转化执行能力、资源协调与协作能力;自我概念范畴包括职业价值观与伦理认知、职业身份认同;特质范畴包括性格特质;动机范畴包括职业内驱力。(2)本研究发现,在培养目标方面,国内外的四个技术转移硕士项目都同属“科技+商业”跨界人才培养体系,结合自身学科优势和优质资源,为国家科技成果转化人才供给提供支撑;课程设置方面,国内外四个技术转移硕士项目的课程内容都涉及基础理论、技术管理、金融与资本运作、法律与政策合规、实践与行业应用、全球化与前沿领域、医学伦理等与医学科技成果转化相关的多学科内容;参与项目方面,国内的项目都通过链接校内外资源,通过与独角兽企业合作、开创创新训练营等方式使学生参与科技成果转化实践;国外的两个医学转移硕士项目均需要学生组队,共同完成顶点项目(Capstone Project),方可认定为具备转化能力,授予学位;职业规划方面,国内项目均为非全日制硕士研究生项目,但是在培养过程中学校会为学生提供如职业导航等职业发展的助力资源;而国外两项目均为全日制硕士培养项目,因此学生毕业前需要面临一定的就业压力,校方提供了专家指导、职业咨询等服务助力学生就业,学生就业方向有学术界、医疗研发、医药市场营销、医药投资管理、临床质量监管等。 结论:(1)从人才培养的理论层面,本研究构建了医学技术经理人胜任力模型,该模型既包含了医学技术经理人应具备的显性和隐性能力,也体现了二级指标的权重,能够全面、量化地衡量医学技术经理人的胜任力。(2)从人才培养的实践层面,本研究认为医学技术经理人硕士项目的培养,需要以提高医学科技成果转化成功率为目标,强调医学与技术、金融、管理等学科的交叉融合,积极鼓励学生参与医学科技成果转化项目,通过提供职业导师、专项孵化基金、生物技术创投网络等方式为学生的就业发展提供支持。 启示:本研究提出的政策启示包括:以国家需求为导向培养医学技术经理人;系统化培训构建完善知识体系,强化专业与市场融合;深化技能培养,结合实践提升医学科技成果转化效率,丰富考核标准和交流渠道,塑造新兴职业的身份认同等。 |
论文文摘(外文): |
Object: Technology transfer is a critical pathway for transforming academic achievements into economic value. China has established a comprehensive policy framework and incentive mechanisms for technology transfer at both central and local levels. However, the commercialization of medical technologies faces unique challenges, including high technical barriers, lengthy translation cycles, and substantial failure risks. Additionally, numerous studies have identified the shortage of specialized translational professionals and insufficient competencies as key factors contributing to the low success rates in medical technology commercialization. This study aims to develop a competency model for medical technology managers based on real-world needs by soliciting expert opinions from stakeholders involved in the medical technology transfer process. It will also draw on best practices from domestic and international talent training programs, ultimately providing evidence-based recommendations to optimize the training of medical technology transfer professionals in China. Methods: Literature Review: A comprehensive analysis of global research on technology transfer professionals was conducted to identify existing gaps and establish a theoretical foundation for competency model development. Empirical Data Collection: Semi-structured interviews with stakeholders in medical technology transfer were performed to gather primary data. Grounded theory was applied for three-level coding (open, axial, and selective) to construct the MTM competency model. Quantitative Validation: A questionnaire survey was administered to assign weights to secondary indicators of the theoretical model. Comparative Case Analysis: Four international and domestic master’s programs for technology transfer professionals were analyzed using an embedded case study approach, focusing on educational objectives, curriculum design, project engagement, and career planning. Results: (1) The competency model for medical technology managers constructed in this study encompasses five core domains: knowledge, skills, self-concept, traits, and motivation, which can be further divided into 10 primary categories and 50 subcategories. The knowledge domain includes technical knowledge, industry knowledge, and market knowledge. The skills domain covers technical asset management, commercial translation execution, and resource coordination and collaboration. The self-concept domain includes professional values and ethical awareness, as well as professional identity. The traits domain refers to personality traits, while the motivation domain captures intrinsic career motivation. (2) This study also identified key trends in talent development for medical technology managers. Across four master’s programs in technology transfer from China and abroad, the curriculum consistently aligns with the ‘technology + business’ interdisciplinary training framework, leveraging their unique disciplinary strengths and resources to support national talent needs for technology commercialization. The curriculum in these programs typically covers a wide range of multidisciplinary content, including medical sciences, technology management, finance and capital operations, legal and regulatory compliance, practical and industry applications, global and emerging technologies, and medical ethics. Regarding practical training, domestic programs often emphasize hands-on experience through partnerships with companies, innovation camps, and connections to external resources, providing students with real-world technology transfer practice. In contrast, two international programs require students to complete team-based capstone projects, demonstrating their practical technology transfer skills before being granted a degree. In terms of career development, domestic programs, often part-time, allow graduates to return to their original workplaces while offering resources like career navigation support. In contrast, full-time international programs place more direct pressure on students to secure employment before graduation, offering expert mentoring, career counseling, and industry networking opportunities to facilitate career transitions. Graduates from these programs typically pursue careers in academia, medical R&D, pharmaceutical marketing, healthcare investment management, and clinical quality regulation. Conclusion: (1) Theoretical Perspective on Talent Development: This study constructs a competency model for medical technology managers, encompassing both explicit and tacit skills required for effective performance. The model also incorporates the relative weights of secondary indicators, providing a comprehensive and quantifiable assessment of the competencies necessary for medical technology managers. (2) Practical Perspective on Talent Development: From a practical standpoint, this study emphasizes that master's programs for medical technology managers should focus on enhancing the success rates of medical technology transfer. This requires a multidisciplinary approach, integrating medical sciences with technology, finance, and management. The study further advocates for active student involvement in technology transfer projects, supported by career mentorship, dedicated incubation funds, and biotechnology investment networks to facilitate career development. Policy Insight: Policy recommendations include: Strategic Alignment: Develop MTM training programs tailored to national priorities. Systematic Training: Strengthen interdisciplinary knowledge systems and market integration. Skill Enhancement: Improve practical capabilities through hands-on projects, standardized evaluations, and professional networks. Motivation Mechanisms: Establish long-term incentives and safeguards to sustain intrinsic motivation. Specialized Categorization: Implement domain-specific training (e.g., biomedicine, medical devices) for MTMs. Market Integration: Optimize talent deployment mechanisms to ensure alignment with industry needs. This study advances the theoretical understanding of medical technology transfer by redefining MTM roles beyond traditional intermediaries, while offering actionable strategies to address systemic bottlenecks in China’s medical innovation ecosystem. |
开放日期: | 2025-07-03 |