Accelerate the Construction of a Collaborative Innovation Ecosystem for Medical Equipment
Abstract
Establishing a collaborative innovation ecosystem for medical equipment is of significant practical importance. From the perspective of enhancing industry competitiveness, collaborative innovation can integrate resources across the industrial chain, fostering cooperation and exchange among enterprises, universities, and research institutions. This leads to complementary strengths, accelerates technological innovation and product development, and enhances the technical content and quality of China’s medical equipment, thereby boosting its international competitiveness. For instance, through integrated collaboration between industry, academia, research, and application, the transformation of scientific and technological achievements can be expedited, enabling these results to be more quickly applied in production, thus improving overall industry efficiency and market responsiveness. In terms of advancing medical progress, advanced medical equipment is crucial for improving the accuracy of medical diagnoses and the effectiveness of treatments. The establishment of a collaborative innovation ecosystem helps develop more advanced, precise, and user-friendly medical equipment, providing stronger support for clinical practice, meeting the growing medical needs, promoting continuous advancements in medical technology, and ultimately enhancing public health levels.
References
Li D, Wang JH, 2021, Research on Knowledge Fusion Mechanism in Medical Engineering Cross Innovation. Scientific Research, 39(5): 832–841.
Chen XX, Zhang T, 2022, The Driving Mechanism and Path of Clinical Doctors’ Participation in Medical Device Innovation. China Hospital Management, 42(7): 67–70.
Liu Y, Yang F, 2023, Operational Difficulties and Breakthrough Paths of University Hospital Enterprise Collaborative Innovation Platform. Technological Progress and Countermeasures, 40(2): 45–52.
Etzkowitz H, Zhou CY, 2018, The Triple Helix: University–industry–government Innovation and Entrepreneurship. Routledge, London, 89–112.
Wang K, Zhou L, 2022, Collaborative Path for Breakthroughs in High-end Medical Equipment “Neck Stuck” Technology. Research Management, 43(8): 32–40.
Zhao MH, 2021, Clinical Demand Mining Model for Original Medical Devices. Chinese Journal of Medical Devices, 45(4): 341–345.
Yock PG, Biodesign: The Process of Innovating Medical Technologies. Cambridge University Press, Cambridge, 101–135.
National Development and Reform Commission, 2021, “14th Five Year Plan” for the Development of Medical Equipment Industry. Policy Document, 2021-12.
Li Y, Wang GP, 2023. Incentive Effect of Priority Approval Policy for Medical Devices on Innovation. China Health Policy Research, 16(1): 55–61.
China Medical Device Industry Association, 2023, Blue Book of China Medical Device Innovation Ecology (2023). Social Science Literature Press, Beijing.
Zhang W, 2022, Exploration of Medical Engineering Collaborative R&D Mode for Surgical Robots: Taking the “Tianji” System as an Example. Chinese Journal of Biomedical Engineering, 41(3): 356–363.
Fudan University Affiliated Zhongshan Hospital, 2020, Construction and Practice of Medical Engineering Integration Clinical Trial Platform. Chinese Journal of Hospital Management, 36(11): 901–905.
Morrow DA, 3033, Academic-industrial Collaboration in Medical Device Development. Nature Medicine, 28(3): 410–415.
Chen XH, 2023, The Independent Innovation Path of Artificial Intelligence Medical Devices. Management World, 39(4): 112–125.
Zhou SH, 2022, Localization Replacement Strategy for Core Components of Medical Imaging Equipment. China Medical Equipment, 37(10): 1–6.
FDA, 2024, Breakthrough Devices Program: 2023 Annual Report. FDA, Silver Spring.
Xiao GH, 2021, Construction of Maturity Evaluation Model for Medical Engineering Integration Projects. Science and Technology Management, 42(6): 77–90.
Kramer DB, 2020, Barriers to Medical Device Innovation. New England Journal of Medicine, 383(6): 502–504.
Zhang MX, 2023, Challenges in Medical Engineering Collaborative Development of Brain Computer Interface Medical Equipment. Chinese Journal of Biomedical Engineering, 42(5): 567–574.
MIT Jameel Clinic, 2024, AI for Healthcare: Global Collaborations Report. MIT, Cambridge.