Which term describes the use of data to inform decision-making in practice?

The term that best describes the use of data to inform decision-making in practice is Evidence-informed practice. This approach integrates the best available evidence, including research findings and data analyses, with clinical expertise and patient values to enhance decision-making processes. Evidence-informed practice emphasizes the importance of utilizing robust, relevant data to guide choices, ensuring that interventions are effective and appropriately tailored to the needs of individuals or populations.

While the other terms may relate to data handling or analysis in specific contexts, they do not encapsulate the broader concept of integrating evidence into practice. Data mining focuses on discovering patterns and insights from large datasets, which is a step toward understanding data but does not directly inform decision-making in practice. Qualitative analysis deals with non-numeric data, emphasizing understanding experiences and meanings but is not primarily about decision-making based on evidence. Statistical modeling involves creating mathematical representations of data relationships, which can inform hypotheses or predictions, yet it is a tool rather than a comprehensive practice that guides decision-making across contexts. Evidence-informed practice, therefore, is distinct in focusing on the integration of various types of knowledge to improve outcomes in practice.