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 ...
Advancing healthcare AI governance through a comprehensive maturity model based on systematic review
Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragmented and often assume extensive resources. Through a systematic review of 35 frameworks ...
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to ...
A variety of factors contributed to this new reality and the response to this appears to be looking toward the ever-evolving AI frontier for answers. For knowledge-based industries, the transformative ...
Thirty participants were interviewed: 22 females (73%), aged 31-70 years (28, 94%), comprising patients (n = 8), caregivers (n = 2), medical oncologists (n = 4 ...
As organizations invest billions of dollars in artificial intelligence, most still struggle to translate those investments into measurable results. Researchers at Carnegie Mellon University’s Software ...
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 ...
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 ...
Effective pre-implementation planning is critical for successful adoption of intelligent process automation (IPA). The comprehensive IPA pre-implementation framework outlined in this document provides ...
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 ...
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