By David Hadden, President and Founder of Pro-ficiency
Effective protocol training is crucial for the success of clinical trials, but its complexity, introduction of novel procedures, and varied staff expertise present challenges. Adaptive learning, a data-driven instructional approach, addresses these issues by tailoring material to individual learners, minimizing the time burden on research site staff.
Adaptive learning employs computer software to customize experiences based on learners' skills and experience, offering unique feedback and resources. Originally used in education, it has expanded into medical fields, proving advantageous in scenarios where outcomes have significant consequences or the audience is heterogeneous.
Notably, adaptive learning excels when time is limited, reducing the strain on clinical research staff overloaded with administrative tasks like training. It streamlines proficiency building by focusing on knowledge gaps, making it particularly valuable in the dynamic and evolving landscape of evidence-based medicine and clinical research.
The NEJM highlights adaptive learning's superiority in scenarios involving repeated training or rapidly changing information, common in clinical research. Its ability to skip known material benefits skilled learners, ensuring they concentrate on novel instruction. Unearth more about this approach, which addresses common complaints about training duration, and how it holds promise for enhancing the efficiency and performance of clinical research staff.