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 ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

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 ...

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 ...

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

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 ...

Spread the love“`html In the fast-paced world of project management, many teams are turning to agile methodologies to enhance productivity and efficiency. Among these methodologies, the scrum ...

Adoption of Telemedicine for Postoperative Follow-Up After Inpatient Cancer-Related Surgery Data were collected from an ambulatory oncology clinic at the University of Miami Health System from October ...

The Reserve Bank of India has released a draft circular proposing a comprehensive risk management framework for AI and ...