The article introduces the field of implementation science to non-specialist investigators, administrators, and policymakers. Implementation science is defined as the scientific study of methods to promote the systematic uptake of research findings and evidence-based practices (EBPs) into routine practice, thereby improving health services quality and effectiveness. The authors highlight the gap between research and practice, where EBPs often take 17 years to be incorporated into routine clinical usage, and only half of them reach widespread clinical usage. They emphasize the need for strategies to address this gap, as healthcare systems face dynamic and resource-constrained conditions. Implementation science aims to bridge this gap by developing generalizable knowledge and strategies that can be applied beyond individual systems. The article discusses the principles and methods of implementation science, including the distinction between implementation processes and EBPs, the role of theory and frameworks, and the types of evaluation data used. It also covers controlled implementation trials, hybrid effectiveness-implementation designs, and real-world implementation study examples. The authors conclude by emphasizing the importance of implementation science in supporting the development of learning healthcare systems, which aim to maximize healthcare value through systematic review and application of data analytics.The article introduces the field of implementation science to non-specialist investigators, administrators, and policymakers. Implementation science is defined as the scientific study of methods to promote the systematic uptake of research findings and evidence-based practices (EBPs) into routine practice, thereby improving health services quality and effectiveness. The authors highlight the gap between research and practice, where EBPs often take 17 years to be incorporated into routine clinical usage, and only half of them reach widespread clinical usage. They emphasize the need for strategies to address this gap, as healthcare systems face dynamic and resource-constrained conditions. Implementation science aims to bridge this gap by developing generalizable knowledge and strategies that can be applied beyond individual systems. The article discusses the principles and methods of implementation science, including the distinction between implementation processes and EBPs, the role of theory and frameworks, and the types of evaluation data used. It also covers controlled implementation trials, hybrid effectiveness-implementation designs, and real-world implementation study examples. The authors conclude by emphasizing the importance of implementation science in supporting the development of learning healthcare systems, which aim to maximize healthcare value through systematic review and application of data analytics.