In the era of the COVID-19 (SARS-CoV-2) virus, it has become imperative to audit the environment surrounding us to prioritize public health and the healthcare system. This study aims to accelerate the reform of the economic development modes and the construction of a resource-friendly society. The environmental protection-oriented ecoenvironmental performance audit system is studied here. Based on the current situation of regional ecological pollution in the Yangtze River Economic Belt, the situation and existing problems are analyzed for the ecoenvironment in the Yangtze River Economic Belt from the perspectives of biodiversity, water ecoenvironment, wetland ecoenvironment, and forest ecoenvironment. Then, the situation is deeply analyzed for the ecoenvironmental performance audit project in the Yangtze River Economic Belt. Afterward, we explore the basic characteristics of the environmental audit and summarize the implementation path of resource and environmental audit. The results show that there are some problems in the control and utilization of funds for environmental protection and the development and protection of resources in the cities along the Yangtze River Economic Belt. Then we analyze the problems in the ecoenvironmental performance audit of the Yangtze River Economic Belt and give some suggestions for improving the ecoenvironmental performance audit work. The objective of this paper is to improve the application effect of ecoenvironmental performance audit and provide references for future environmental protection work which will have great impacts on public health and the development of healthcare services.

At present, there are still some problems in the document management of enterprise innovation projects, such as non-standard management, lagging update, chaotic content, insufficient information, and insufficient application. There is still a lack of effective methods to evaluate the financing ability of enterprises. To solve the above problems, high technology expertise (HNTE) is taken as the research objects. Firstly, the relationship between social audit and enterprise technological innovation is analyzed, and on this basis, combined with natural language processing (NLP), an extraction method of project document information is proposed. Secondly, the evaluation index system of enterprise financing ability is constructed based on Back Propagation Neural Network (BPNN), and the technology innovation audit system of HNTEs. Finally, combined with the actual content, the proposed document audit method is evaluated. The results show that: the average accuracy rate of the NLP-based innovation project document audit method is 91.36%, the average recall rate is 96.34%, and the average F statistical value is 95.34%. Among them, the recall rate and F statistical value are about 2.3% and 1.4% higher than manual processing, respectively. The recall rate and F value are obviously better than those of manual processing methods, and the processing time of single document based on NLP is only 87.5 s. The processing time is nearly 50 times lower than that of manual processing, which greatly improves the processing efficiency of document information. The corresponding test results of each index selected based on the evaluation of enterprise financing ability are all below 0.1, which meets the requirements of consistency. The evaluation results of BPNN model on enterprise financing ability are highly consistent with the target value, and the prediction error is controlled within 0.02, which can provide more accurate prediction results. This research obtains a more accurate prediction model of enterprise financing ability evaluation, which provides technical support for social auditing and the innovation and development of enterprise technology, and provides a feasible route for the development of BPNN in the financial field.