Background Improvement science has supported the methodological foundations for the application of quality improvement (QI) ...

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 ...

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 ...

The toolkits are designed to help researchers and learners more easily digest the literature on D&I science and to generate ideas for applying it to their work. Each includes a compilation of relevant ...

Investors are reassessing fragmented implementation models as portfolio complexity, liquidity demands, and market risks grow. Read more ...

CSA's AICM v1.1 expands the AI security framework into a bundled control, assessment, audit and standards-mapping package.