Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405957 | PMC |
| http://dx.doi.org/10.1016/j.eclinm.2021.101108 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Could the R2C2 Feedback and Coaching Model Enhance Feedback Literacy Behaviors: A Qualitative Study Exploring Learner-Preceptor Feedback Conversations.
Perspect Med Educ
January 2025
Department of Community Health Sciences, Cumming School of Medicine, 3280 Hospital Drive NW University of Calgary, Calgary, Alberta, T2N 4Z6, Canada.
Introduction: Feedback literacy (FBL) is a critical skill for learners encompassing four behaviors: appreciating feedback, making judgements, managing affect, and taking action. Little guidance has been available for clinical preceptors to promote FBL. The R2C2 feedback and coaching model that guides teachers through building Relationships, exploring Reactions and Reflections, discussing Content and Coaching to co-develop an action plan for follow-up may support FBL.
View Article and Find Full Text PDFDiabetes Centers' Participation in the T1D Exchange Quality Improvement Collaborative Advances Health Equity and Clinical Outcomes.
Clin Diabetes
October 2024
T1D Exchange, Boston, MA.
As the learning health network known as the T1D Exchange Quality Improvement Collaborative (T1DX-QI) has expanded on a significant scale to provide care for more than 120,000 people since its inception in 2016, assessing the quality improvement (QI) culture and monitoring clinical outcome improvements of participating centers has become vital to understanding the network's progress and success. Centers participating in the T1DX-QI complete regular QI culture self-assessments to quantify four evidence-based areas of culture: QI team structure, QI foundation, QI capacity, and QI success. This study builds on a previous baseline analysis to demonstrate self-reported improvements in T1DX-QI centers' QI culture from 2021 to 2022 and summarizes QI successes experienced by participating centers.
View Article and Find Full Text PDFFormaldehyde and asthma: a plausibility?
Arch Toxicol
January 2025
National Research Centre for the Working Environment, Copenhagen, Denmark.
Formaldehyde (FA) is a ubiquitous indoor air pollutant emitted from construction, consumer, and combustion-related products, and ozone-initiated reactions with reactive organic volatiles. The derivation of an indoor air quality guideline for FA by World Health Organization in 2010 did not find convincing evidence for bronchoconstriction-related reactions as detrimental lung function. Causal relationship between FA and asthma has since been advocated in meta-analyses of selected observational studies.
View Article and Find Full Text PDFClinical entity augmented retrieval for clinical information extraction.
NPJ Digit Med
January 2025
Department of Biomedical Data Science, Stanford, CA, USA.
Large language models (LLMs) with retrieval-augmented generation (RAG) have improved information extraction over previous methods, yet their reliance on embeddings often leads to inefficient retrieval. We introduce CLinical Entity Augmented Retrieval (CLEAR), a RAG pipeline that retrieves information using entities. We compared CLEAR to embedding RAG and full-note approaches for extracting 18 variables using six LLMs across 20,000 clinical notes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!