A national approach for the use of simulation to educate and train the NHS workforce: the First National Clinical Skills Strategy.

Scott Med J

Project Manager CSMEN, East of Scotland Deanery, NHS Education for Scotland, Ninewells Hospital, UK.

Published: November 2015

Introduction: There have been a number of drivers for the use of simulation in healthcare education for the NHS workforce. The development of an accessible and efficient national approach to its implementation has been challenging.

Methods: An action research approach was used to develop a national strategy using several data inputs.

Results: From sampling across practitioners and territorial health boards geographical and professional groups, access was the main challenge to the use of simulation.

Conclusion: Four priority areas were identified, which formed the basis of the national strategy Partnership for Care, which included a mobile unit, a managed educational network, a programme board and an alliance of stakeholders.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0036933015606587DOI Listing

Publication Analysis

Top Keywords

national approach
8
nhs workforce
8
national strategy
8
national
5
approach simulation
4
simulation educate
4
educate train
4
train nhs
4
workforce national
4
national clinical
4

Similar Publications

The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.

View Article and Find Full Text PDF

Enhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks.

J Chem Inf Model

January 2025

Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan.

Accurately predicting activation energies is crucial for understanding chemical reactions and modeling complex reaction systems. However, the high computational cost of quantum chemistry methods often limits the feasibility of large-scale studies, leading to a scarcity of high-quality activation energy data. In this work, we explore and compare three innovative approaches (transfer learning, delta learning, and feature engineering) to enhance the accuracy of activation energy predictions using graph neural networks, specifically focusing on methods that incorporate low-cost, low-level computational data.

View Article and Find Full Text PDF

Background: The World Health Organization conditionally recommends reactive drug administration to reduce malaria transmission in settings approaching elimination. However, few studies have evaluated the impact of reactive focal drug administration (rFDA) in sub-Saharan Africa, and none have evaluated it under programmatic conditions. In 2016, Senegal's national malaria control programme introduced rFDA, the presumptive treatment of compound members of a person with confirmed malaria, and reactive mass focal drug administration (rMFDA), an expanded effort including neighbouring compounds during an outbreak, in 10 low transmission districts in the north of the country.

View Article and Find Full Text PDF

Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.

View Article and Find Full Text PDF

Background: Family physician program is one of the effective reforms of the health system in Iran, but despite the implementation of this program in rural areas and the passage of ten years since its implementation in two provinces of Fars and Mazandaran, its implementation has faced problems. The aim of this study is to identify and prioritize implementation solutions related to the challenges of the family physician program in Iran.

Methods: This is a qualitative study using semi-structured interviews with 22 snowball-sampled experts and managers of basic health insurers to extract problems and executive solutions through coding and data analysis using Atlas Ti software and content analysis in the first stage.

View Article and Find Full Text PDF

Want 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!