Leveraging Artificial Intelligence for Expediting Implementation Efforts

Abstract

Expedited implementation of evidence into practice and policymaking is critical to ensure the delivery of effective care and improve health-care outcomes. Implementation science deals with the designing of methods and strategies for increasing and facilitating the uptake of evidence into practice and policymaking. Nevertheless, the process of designing and selecting methods and strategies for implementing evidence is complicated because of the complexity of health-care settings where implementation is desired. Artificial intelligence (AI) has revolutionized a range of fields, including genomics, education, drug trials, research, and health care. This commentary discusses how AI can be leveraged to expedite implementation science efforts for transforming health-care practice. Four key aspects of AI use in implementation science are highlighted: (a) AI for implementation planning (e.g., needs assessment, predictive analytics, and data management), (b) AI for developing implementation tools and guidelines, (c) AI for designing and applying implementation strategies, and (d) AI for monitoring and evaluating implementation outcomes. Use of AI along the implementation continuum from planning to delivery and evaluation can enable more precise and accurate implementation of evidence into practice.

Uncovering and Expressing our Purpose

“…Despite the proliferation of research that generates evidence supporting actionable recommendations for practice change, studies suggest that only about 15% of published research is implemented in clinical care; of the changes that are implemented, the process can take more than 15 years (Younas & Reynolds, 2024). Implementation science deals with designing methods and strategies for increasing the uptake of evidence into practice and policymaking.…”

“…Ahtisham Younas of Memorial University of Newfoundland and Staci Reynolds of Duke University discuss four key aspects of AI use in implementation science to transform health-care practice: planning, developing tools and guidelines, designing and applying strategies, and monitoring and evaluating outcomes. (Younas & Reynolds, 2024) Identifying and Evaluating Large Volumes of International Literature Sarcopenia is a progressive loss of muscle mass, strength, and function that impacts quality of life for millions of people worldwide. Sarcopenia among older people is associated with an increased risk of multiple adverse health outcomes including falls and fractures, metabolic syndrome, hospital admission and readmission, cognitive impairment, and increased health-care expenses.…”