AIMC Topic: Formative Feedback

Clear Filters Showing 21 to 27 of 27 articles

Twelve tips: Using generative AI to create and optimize content for virtual patient simulations.

Medical teacher
Generative Artificial Intelligence (GenAI) is increasingly being used in medical education, including the creation of content for clinical virtual patient simulation (VPS). We share practical insights drawn from our experience as medical educators, d...

Artificial Intelligence in Narrative Feedback Analysis for Competency-Based Medical Education: A Review.

Studies in health technology and informatics
Competency-Based Medical Education (CBME) generates large volumes of qualitative data in the form of narrative feedback. Traditional qualitative analysis methods face limitations in managing this data's scale and complexity. This review explores the ...

Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing rate alongside widespread use of EHR data for clinical performance measurement. Precision feedback is...

Using Natural Language Processing to Automatically Assess Feedback Quality: Findings From 3 Surgical Residencies.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Learning is markedly improved with high-quality feedback, yet assuring the quality of feedback is difficult to achieve at scale. Natural language processing (NLP) algorithms may be useful in this context as they can automatically classify la...

AI-ssessment: Towards Assessment As a Sociotechnical System for Learning.

Academic medicine : journal of the Association of American Medical Colleges
Two decades ago, the advent of competency-based medical education (CBME) marked a paradigm shift in assessment. Now, medical education is on the cusp of another transformation driven by advances in the field of artificial intelligence (AI). In this a...

Using Machine Learning to Evaluate Attending Feedback on Resident Performance.

Anesthesia and analgesia
BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...

Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.)
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...