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Background China is currently piloting a “Sharing Nurse” program that aims to increase the accessibility of nursing services to at-home patients by enabling patients to order nursing services using mobile apps or online platforms. Objective This study aims to assess nurses’ perceptions of the Sharing Nurse program, including their acceptance, concerns, needs, and willingness to take part in the program. Methods A total of 694 nurses participated in the questionnaire survey. The survey collected their sociodemographic and work-related information and their perceptions of the Sharing Nurse program using a self-developed questionnaire. Results The 694 respondents agreed that the Sharing Nurse program could provide patients with better access to nursing care (n=483, 69.6%). Their main concerns about the program were unclear liability division when medical disputes occur (n=637, 90.3%) and potential personal safety issues (n=604, 87%). They reported that insurance (n=611, 88%), permits from their affiliated hospital (n=562, 81.0%), clear instructions concerning rights and duties (n=580, 83.6%), real time positioning while delivering the service (n=567, 81.7%), and one-key alarm equipment (n=590, 85.0%) were necessary for better implementation of the program. More than half of the respondents (n=416, 60%) had an optimistic attitude toward the development of the Sharing Nurse program in China. However, only 19.4% (n=135) of the respondents expressed their willingness to be a “shared nurse.” Further analyses found that nurses with a master’s degree or above (χ23=28.835, P<.001) or from tertiary hospitals (χ23=18.669, P<.001) were more likely to be aware of the Sharing Nurse program and that male nurses were more willing to be shared nurses (Z=–2.275, P=.02). Conclusions The Chinese Sharing Nurse program is still in its infancy and many refinements are needed before it can be implemented nationwide. Generally, Chinese nurses are positive about the Sharing Nurse program and are willing to participate if the program is thoroughly regulated and supervised.

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Due to the influence of various factors, the development of hospice care in China is very slow, and the quality of life while dying in patients with critical illness is low. At present, the management of chronic diseases under the hierarchical medical system has achieved good results in China, but to date, there is no report on the implementation of hospice care services under the hierarchical medical system. The purpose of this study is to explore the strengths, weaknesses, opportunities, and threats (SWOT) of establishing a "hospital-community-home" linked hospice care demonstration center under the hierarchical medical system in Southwest China. Based on the baseline survey, the SWOT analysis method was used for analysis. In all, there are 26 medical institutions of different levels, including 440 medical staff and 650 community-dwelling elderly take part in the quantitative research, and 24 related professionals participated in the panel discussion. We came to the conclusion that under the hierarchical medical system, a "hospital-community-home" linked hospice care demonstration center has the following opportunities when initiating hospice care activities in Southwest China: effective integration of resources, diversification of demand, policy support, positive attitude of medical staffs, etc. However, the lack of laws and regulations, the imperfect social security system, the lack of public awareness, and the lack of institutional operation and certification standards of practitioners are challenges when building such centers.

With the development of intelligent driving technology, recognition the vehicle in front of our cars became the hotspot in the field of intelligent driving research. This paper presents a self-adaptive front vehicle recognition algorithm with some unique improved method on the basis of analyzing and comparing the popular vehicle detection algorithm of domestic and foreign. Using the gray feature, vehicle shadow feature, taillights feature, license plate color domain feature and other features, the recognition algorithm can detect the vehicle in front of cars effectively, find out the safe passage area and avoid the potential risks. Finally, the feasibility of the algorithm is verified by experiment results with MATLAB tools.