Publications by authors named "R D Angus"
Objectives: Efficient performance evaluation is essential for driving improvement, ensuring accountability and optimisation of outcomes in healthcare delivery. However, its complexity often leads to ineffective implementation. This article aims to advance the field of performance measurement within alternative healthcare delivery models of care through the development and validation of a comprehensive evaluation framework.
View Article and Find Full Text PDFBackground: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.
Objective: This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.
Article Synopsis
- Food allergies are becoming more common, so it's crucial for hospitals to effectively identify and manage them to ensure patient safety.
- A study involved interviews and surveys with hospital patients who have food allergies to assess their understanding and expectations regarding hospital food services.
- Key findings revealed that while patients felt comfortable declaring their allergies and were satisfied with hospital food, further research is needed to pinpoint what factors are most important to them in their meals.
The Palaearctic species of Aphodius Hellwig, 1798, subgenus Liothorax Motschulsky, 1860 are revised using a combination of chromosome analysis, molecular phylogenetics and morphological statistical analysis. Sixteen species are recognised, one of which is shown to comprise two subspecies. Based mainly on the morphology of the aedeagal endophallus and the phylogenetic analysis, they are placed in two groups: the.
View Article and Find Full Text PDFBackground: As role substitution models gain prominence in healthcare, understanding the factors shaping their effectiveness is paramount. This study aimed to investigate factors that impact the implementation and performance evaluation of professional role substitution models in healthcare, with a focus on understanding the variables that determine their success or failure in adoption, execution, continuity, and outcomes.
Methods: The exploratory qualitative study used semi-structured interviews with key opinion leaders, decision makers, facilitators, recipients, and frontline implementers, who had influence and involvement in the implementation of professional role substitution models.