Systematic review (SR) and meta-analysis, as the highest level of evidence-based medicine, are an indispensable part of guiding medical staff to make medical decisions. At the same time, the status of patients as shared decision-making is rising. At present, the results of SR and meta-analysis are mainly presented in the form of effect (relative risk or mean difference) and forest plot. The expression is not intuitive or professional. The process of evidence-based evidence guiding clinical decision-making lags behind, which cannot meet the needs of rapid decision-making. With the continuous progress in artificial intelligence and big data analysis tools, researchers have attempted to introduce visual presentations to improve the timeliness of clinical decision-making. Through the interpretation of the outcomes of SR and meta-analysis, this paper presents different visualization results from the perspective of patients and clinical decision-makers, which not only helps the majority of people without medical background understand clinical evidence more intuitively and participate in the process of clinical decision-making, but also helps improve residents' health literacy, promotes the dissemination and sharing of knowledge, and provides references for further promoting the technology of automatic decision-making system.