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Jiying Technology's team participated in an interview for the 「Hi17 SDGs 逐個創」program by the UNESCO Hong Kong Association.

「Hi17 SDGs 逐個創」第九集(下)- 跨學科創新,青年助力可持續醫療 - YouTube

 

        I. Cross-disciplinary Skills Needed by Young People in the Medical Technology Industry

 

    In the medical technology industry, young people require a range of cross-disciplinary skills, including technical ability, medical knowledge, innovative thinking, communication and collaboration, and ethical awareness. Technical ability involves mastering cutting-edge technologies such as artificial intelligence and big data analysis, and applying these technologies in the field of healthcare. As an industry at the intersection of various disciplines, employees in medical technology need to have a continuous learning and research mindset, which enables them to communicate and collaborate effectively within multidisciplinary teams, driving project progress.

 

        II. Trends of Young People Joining the Medical Science and Innovation Industry and Their Impact

 

    The trend of young people joining the medical science and innovation industry is characterized by diverse backgrounds, technology-driven approaches, and an entrepreneurial spirit. As fresh blood in the field, they possess greater innovation and can accelerate the application of new technologies in the medical field, improving the efficiency and quality of medical services and changing service models, such as telemedicine and personalized healthcare. The medical science and innovation industry needs talents with diverse creative abilities, equipped with skills in artificial intelligence and technology.

 

        III. How Innovative Technology Can Better Solve the Problem of "Hypochondria" in Society

 

    The application of innovative technology in addressing the issue of "hypochondria" in society includes big data analysis, AI-assisted diagnosis, and telemedicine platforms. These technologies can help patients obtain professional medical advice more conveniently while reducing the rate of misdiagnosis. Based on advanced large language models, users can obtain preliminary diagnostic and treatment suggestions through dialogue with intelligent robots and information input, greatly enhancing the accessibility and accuracy of medical services.

 

        IV. Ethical Considerations in the Use of Artificial Intelligence in Medicine

 

    When using artificial intelligence in the medical field, ethical considerations are an important issue that cannot be ignored. With patient health at the core, comprehensive consideration from all angles is necessary to ensure data privacy protection, algorithm transparency, and fairness. This requires us to ensure the security and privacy of patient data while enjoying the convenience brought by technology, to ensure the transparency and interpretability of AI decision-making processes, to avoid algorithmic bias, and to ensure that all patients can fairly access medical services.

 

       V. Challenges Faced by Science and Innovation Enterprises in Practice

 

      Science and innovation enterprises face multiple challenges in practice, including technology transformation, market acceptance, funding, and compliance with policies and regulations. However, Hong Kong, as a hub for talent, provides unique opportunities for the development of the medical technology field. The combination of policy support, an international environment, and market demand makes Hong Kong a fertile ground for the rapid growth of medical technology enterprises and provides a strong springboard for medical technology to go global.