The gap between AI's promise and its practical implementation in legal organizations is substantial. After 25 years designing and deploying technology solutions in legal environments, I've observed a ...

This workshop will provide an introduction to the types of theories, models, and frameworks (TMFs) commonly used in dissemination and implementation science, including pros and cons and application of ...

When future historians look back on the 2020s, they will see it as a decade defined by—among other things—revolutionary artificial intelligence (AI) breakthroughs. While the hype for AI, particularly ...

Software engineers developing artificial intelligence (AI) models using standard frameworks such as Keras, PyTorch, and TensorFlow are usually not well-equipped to translate those models into ...

The field of implementation science needs to prioritize evidence-informed interventions that fit the daily lives of the communities in which they will be delivered. Early prevention and intervention ...

Colleges and universities are navigating technological change, shifting demographics, evolving workforce demands and fluctuating economic conditions. As a university president, I’ve seen how ...

No published studies exist on use of intervention design, implementation strategies, and theory in the CMS Accountable Health Communities Model, the largest-scale test of social prescribing in the ...