Surgery is one of the larger wounds in conventional surgery, and patients often experience different pain and postural discomfort after surgery. With the ever-changing standards of medical care and patient care requirements, providing high-quality care to postoperative patients is an important measure to reduce complications and promote rapid recovery. However, in the traditional postsurgical nursing methods, there are often the phenomenon that wrong patients are connected, patient data is messy, and medicines are counted incorrectly, which directly leads to a rapid decline in nursing efficiency. In the context of the rapid development of artificial intelligence and big data, intelligent medical data analysis technology has gradually been integrated into the medical field. This paper analyzes and studies the application effect of intelligent medical data analysis technology in postoperative nursing. It is aimed at changing the traditional postoperative nursing methods and improving nursing efficiency, and it provides important suggestions for the development of postoperative nursing in the new era. Combining big data and Internet of Things technology, this paper builds a smart medical Internet of Things framework and an intelligent postoperative care system and uses machine learning algorithms to preprocess relevant medical data. The final experimental results show that the intelligent medical data analysis technology has a good effect in improving the nursing efficiency after surgery, and the nursing efficiency has increased by 6.9%.
The hydropower project immigrants in the Youjiang Revolutionary Zone have certain particularities. It is located in the southwestern border of China. The region’s economic development is underdeveloped. The implementation of the later support policy content is very important. In the context of the development of the new era, Study the impact of the implementation of the current support policies on the livelihood results of the migrants, which is related to the sustainable development of the migrants. This paper is based on the survey data of 412 relocated residents from three large and medium-sized hydropower stations at the Tianshengqiao First-Class Station, Longtan Hydropower Station, and Baise Water Conservancy Project. The research results are as follows: 1. The content of the later support policy has a positive and significant impact on the results of the sustainable livelihoods of the migrants.; 2. The effect of the later support policy plays an intermediary role between the content of the later support policy and the results of the sustainable livelihoods of the migrants.; 3. The content of post-support policies for economic and project types has a positive impact on the effects of post-support policies, but has no significant impact on the results of sustainable livelihoods. 4. The content of the later support policies for openness, democracy and management has no significant impact on the policy effect, but has a positive and significant impact on the results of the sustainable livelihoods of the immigrants.
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