Source:People's Daily Online
Recently, Liu Shiyuan, director of the radiology diagnostic department of Shanghai Changzheng Hospital and chairman of the Radiology Branch of the Chinese Medical Association, was a guest of the People's Good Doctor client. He said that in recent years, the application of artificial intelligence in the medical industry has been developing rapidly, and has played an important role in disease prediction, diagnosis, and providing treatment recommendations. Artificial intelligence products applied in the medical field need to start from the clinical reality, promote the sinking of high-quality resources, provide patients with more comprehensive medical services, and help public hospitals to develop in a high quality.
Strengthening innovation to help public hospitals high-quality development
Liu Shiyuan said, "on the promotion of public hospitals high-quality development of the views" put forward to promote the development of public hospitals, give full play to the public hospitals, "the main force" of the backbone of the role of the public hospitals to promote the development of public hospitals from the rough management to the fine management of the public hospitals to the public hospitals to the public hospitals. Public hospitals from rough management to fine management, focus on material input to strengthen the transformation of talent training. Public hospitals should focus on improving connotation construction, quality construction and talent construction. Among them, the imaging department as a platform department, to promote the high quality construction of the imaging department, to promote the development of hospitals, clinical disciplines, and provide better service to patients has an important role.
"Innovation is the vitality of the hospital and the vitality of the department." Liu Shiyuan said that innovation includes a number of aspects, first of all, it is necessary to start from the technical level of technological innovation, with new inspection methods, diagnostic methods, treatment methods, service system, to improve the diagnostic accuracy and treatment efficiency, improve the patient's sense of access to the patient to bring a new experience of medical treatment. Secondly, the integration and innovation of work mode is also an important aspect, to further strengthen the multidisciplinary cooperation, early screening and early diagnosis, strengthen the disease intervention, strengthen the post-hospital patient rehabilitation management, the formation of disease-centered disciplinary groups, covering the pre-hospital, hospital, hospital and post-hospital integration and innovation service model.
Liu Shiyuan pointed out that it is necessary to further strengthen the informationization and intelligent platform innovation, give full play to the application of big data, Internet of Things, the Internet, artificial intelligence and 5G and other technologies in the medical field, to improve the level of hospital management and operational efficiency, so that high-quality resources in the high-quality development of the same time, can be a greater range of better service for patients.
In-depth product development to help quality resources sink
Liu Shiyuan said that due to the differences in China's economic development, the distribution of medical resources is not balanced, and there is an imbalance in the number and types of services that can be provided, in the case of imaging disciplines, for example, the provincial capitals of the hospitals and hospitals in county-level and township-level medical institutions in the type of imaging equipment, imaging scanning technology, imaging diagnostic capabilities and so on. For example, in the imaging department, provincial capital hospitals, county-level hospitals and rural-level medical institutions are heterogeneous in terms of the type of imaging equipment, imaging scanning technology and imaging diagnostic capability. In recent years, the promotion and application of hierarchical diagnosis and treatment and Internet+ technology have played an important role in promoting the sinking of high-quality medical resources. Artificial intelligence technology is one of the most important ways to solve the problems faced by areas with a lack of medical resources and relatively backward medical quality, by applying artificial intelligence products cultivated and developed by large tertiary hospitals to county hospitals or township-level medical and healthcare institutions. Currently, there are some limitations in the application of AI products in facing multiple diseases and actual medical scenarios, and it is also hoped that in the future there will be more medical imaging AI companies to develop more products aimed at solving the problem of healthcare heterogeneity, improve the quality of primary healthcare services, and promote the construction of the national healthcare homogenization level.
Enhance research capacity and strengthen talent training
"Imaging is a booster for hospital construction and a big hub, all clinical disciplines and clinicians need the support of this platform." Liu Shiyuan said that the imaging platform to meet the needs of doctors and patients, there is a need to have enough equipment and medical workers to cover the clinical needs of the examination program. Secondly, the imaging sub-specialty division of labor, according to the nerve group, head and neck group, bone and joint group, abdominal group, chest group and other different directions of the imaging talent sub-specialty division of labor and in-depth research, from the clinical, medical, teaching, scientific research in all aspects of the patient to provide a more refined service, and to promote the high-quality development of clinical medicine.
Liu Shiyuan pointed out that although many colleges and universities have opened imaging-related specialties, with the further development and expansion of hospitals and investment in equipment, the demand for talent has also expanded. Unlike other disciplines, imaging doctors need a comprehensive understanding of the diseases in different parts of the body, belonging to the horizontal cross-disciplinary, and the service object is diverse, we should further emphasize the training of clinical personnel, the use of a variety of teaching modes combined with the combination of medical and industrial, focusing on the scientific research and teaching ability to cultivate.
"If the medical analogy is made as a whole, teaching and research are two wings." Liu Shiyuan said that teaching and scientific research is an important task of large tertiary hospitals, need to be in the use of the data and experience accumulated in the clinical work summarized to better guide the grass-roots doctors, so as to promote the development of the entire discipline.