Statistically significant evidence and clinically significant evidence are two concepts frequently discussed in research. Statistically significant evidence indicates the researchers’ results demonstrate a relationship between variables, rather than results produced by chance. Clinically significant evidence indicates if results/ data is relevant or meaningful for stakeholders. The primary difference between statistically significant evidence and clinically significant evidence is, “that the clinical significance observes dissimilarity between the two groups or the two treatment modalities, while statistical significance implies whether there is any mathematical significance to the carried analysis of the results or not,” (Sharma, 2021). Understanding the difference between types of evidence and their relevance is essential to interpreting data and applying research findings. Both statistically significant and clinically significant research findings can be used to advance evidence-based practice projects. Statistically significant findings can be used to identify treatments or interventions that could potentially affect patient care. This data highlights the relationship between variables that could possibly lead to the formation of an evidence-based intervention. Clinically significant research can lead to interventions being implemented into patient care practices. Data that is deemed clinically significant could have an impact on patient safety and patient outcomes. From this information, evidence-based changes are implemented into practice.