The BEAMER Lab: Conceptualizing a Living Lab Framework to Develop Predictive Models, Tools and Support Programs to Improve Adherence to Treatment
摘要
This study introduces a framework for establishing a living lab for the aggregation of data, scenarios, and ecosystems to improve adherence to medical treatments. Recognizing the complexity of adherence behaviours across different health conditions, the living lab environment enables 1) the management of real-world data, 2) the definition and simulation of real-world scenarios, and 3) the implementation of real-world solutions where an intervention to address adherence is introduced. The framework may have potential in bridging the gap between theoretical research and real practice, offering a scalable solution to improve health outcomes by optimizing adherence to treatment.