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 ...

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 ...

Outcomes of an innovative six-week standardized residential training course for physicians and nurses to provide primary palliative care in India. Propensity score matched analysis of a palliative ...

Similar to how we synthesized a framework for value-based payment (VBP)-specific design considerations in previous Health Affairs Forefront work, we present here a brief framework for categorizing the ...

New technologies are often so brimming with potential that they're difficult to define. In turn, that makes them harder to implement as part of an overarching digital transformation strategy. Many ...

The Accountable Health Communities Model facilitates multisector coordination. Implementation science elucidated the contextual factors that facilitated the use of this model in Arizona. Objectives: ...

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 ...