Publications by authors named "R A Simms"
Generative artificial intelligence (AI) literacy in nursing education: A crucial call to action.
Nurse Educ Today
December 2024
Introduction: Generative artificial intelligence (AI) is revolutionizing healthcare, necessitating corresponding advancements in nursing education to ensure that future nurses are equipped for a technologically driven environment. This article explores the imperative integration of generative AI literacy in nursing education.
Implications For Nurse Educators: The article delves into the practical challenges and opportunities presented by generative AI in nursing.
Article Synopsis
- - A study compared the outcomes of autologous hematopoietic stem cell transplantation (AHSCT) using unmodified peripheral blood stem cells (PBSC) with maintenance therapy (mycophenolate mofetil) versus a previously studied method that involved CD34+ selected PBSC in patients with diffuse systemic sclerosis (SSc).
- - In this trial involving 20 high-risk SSc patients, the 5-year overall survival (OS) was estimated at 85%, and event-free survival (EFS) was 75%, indicating promising results with this new approach.
- - The research highlighted a potential risk factor for poor outcomes in patients undergoing AHSCT: having a low estimated glomerular filtration rate (
Introduction: The National Registry of Rare Kidney Diseases (RaDaR) collects data from people living with rare kidney diseases across the UK, and is the world's largest, rare kidney disease registry. We present the clinical demographics and renal function of 25,880 prevalent patients and sought evidence of bias in recruitment to RaDaR.
Methods: RaDaR is linked with the UK Renal Registry (UKRR, with which all UK patients receiving kidney replacement therapy [KRT] are registered).
Background: Technological advances have expanded nursing education to include generative artificial intelligence (AI) tools such as ChatGPT.
Problem: Generative AI tools challenge academic integrity, pose a challenge to validating information accuracy, and require strategies to ensure the credibility of AI-generated information.
Approach: This article presents a dual-purpose approach integrating AI tools into prelicensure nursing education to enhance learning while promoting critical evaluation skills.