With the development of rehabilitation medicine being promoted as a national strategy, the rehabilitation medicine has developed rapidly in China, and the number of rehabilitation medicine departments in tertiary general hospitals has increased greatly. However, the discipline development faces some problems, such as unreasonable physical condition setting, nonstandard clinical path of rehabilitation technology, inaccurate discipline positioning, loopholes in safety management, inadequate rehabilitation quality control, and imperfect talent construction system. This paper attempts to discuss the strategic thinking of the development of rehabilitation medicine from six dimensions: foundation, technology, system, safety, quality control, and talents, so as to provide a reference for discipline builders.
A new human resource management system in West China Hospital of Sichuan University has been constructed to inspire work enthusiasm and innovation of the front-line medical staffs, strengthen the cohesion of the hospital, better service for patients, and promote high-quality development of the hospital. This paper introduced it and provided references for related researches.
According to the characteristics of the diversified employment system of general hospitals, we have independently developed a set of personnel information platforms suitable for our hospital's operating model and work-flow which achieved establishing a novel big data management model for big personnel. After a year of trial operation, the big data management of personnel has completely covered the target management and requirements of the hospital, covering basic quality, public services, teaching work, medical work, scientific research, and other dimensions of information, which helped the hospital constructed a systematically networked and full-coveraged, personnel information system with strong early warning functions and incentives, enabling the reasonable utilization rate of human capital and continuous improvement of the quality of talent training.
West China Hospital of Sichuan University has explored and established an intelligent assistant evaluation mechanism for professional titles based on the personnel information system, which makes the evaluation more convenient, more efficient, and the whole process more open and transparent. This paper aimed to introduce it and to provide references for evidence-based decision-making of medical institutions.
Objective To analyze the scientific research output of West China Hospital of Sichuan University from 2015 to 2020, so as to evaluate the effectiveness of new scientific research management model. Methods From January 2018, a series of management measures were introduced, including improving research incentive policies, integrating and supporting resources, constructing a scientific quantitative research performance evaluation system, and establishing an information-based research service model. The changes of scientific research output before (2015-2017) and after (2018-2020) the implementation of the management measures were analyzed to evaluate the quality and effectiveness of the management model. Results A total of 10141 high-quality research papers were seized and 2311 research projects were approved. After the implementation of the measures, the absolute number of papers published and projects approved increased significantly. In terms of high-quality papers published after the implementation of the measures, the increase rate reached 46.80%, among which the number of interdisciplinary papers increased by 116.05%, the number of reviews increased by 96.13%, the numbers of papers published in Area 2 and Area 1 increased by 114.67% and 75.00%, respectively, and the number of co-author papers increased by over seven times. In terms of scientific research projects approved after the implementation of the measures, the number of projects approved by the National Natural Science Foundation of China (NSFC) increased by 21.03%, and the number of provincial and ministerial projects increased by 110.17%, with the people in charge becoming younger. The number of principal investigators of NSFC increased by 1.67 times. The number of projects managed by intermediate and undetermined professional titles increased by 64.71% and 68.63%, respectively. The number of projects approved by youth and general fund increased by 30.26% and 14.16% respectively. The number of people in charge of provincial and ministerial projects increased by 1.45 times. The number of projects managed by deputy senior and intermediate titles increased by 1.64 times and 1.54 times, respectively. Key research and development projects, key projects, international cooperation projects, and basic application projects saw a significant increase. Conclusions After the implementation of management measures, the number and overall level of research papers have been improved, and the cross-cooperation between clinical and basic research has been gradually started. The number of projects approved increased significantly, and the project leaders tended to be younger. The high-quality cultivation and continuous growth of scientific research talents achieved initial results.
At present, Chinese hospitals widely use a single qualified talent evaluation system. This talent evaluation system has certain limitations. Therefore, based on the long-term demand of research-oriented hospitals for talent team construction, and the limitations of the existing talent evaluation system, this article preliminarily discusses the integrated mode of talent evaluation for research-oriented hospital with integral, qualitative and whole person evaluation based on the Gestalt theory. This model contributes to comprehensively and authentically reflecting the contributions and influences of the evaluated individuals in terms of their professional level, comprehensive abilities, and moral character in research-oriented hospitals. Moreover, it is necessary to fully integrate artificial intelligence and 5G information technology to explore and integrate various evaluation methods into a comprehensive evaluation system for talents in research-oriented hospitals that combines scientific evaluation weights, realizing intelligent, visual, refined, and scientific integrated evaluation.