Risk management is a key tool in Clinical Governance. Our project aimed to define, share, apply and measure the impact of tools and methodologies for the continuous improvement of quality of care, especially in relation to the multi-disciplinary and integrated management of the hyperglycemic patient in hospital settings. A training project, coordinated by a scientific board of experts in diabetes and health management and an Expert Meeting with representatives of all the participating centers was launched in 2014. The project involved eight hospitals through the organization of meetings with five managers and 25 speakers, including diabetologists, internists, pharmacists and nurses. The analysis showed a wide variability in the adoption of tools and processes towards a comprehensive and coordinated management of hyperglycemic patients.
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Perspect Med Educ
December 2024
Faculty of Education, Queen's University, Canada.
The integration of technology into health professions assessment has created multiple possibilities. In this paper, we focus on the challenges and opportunities of integrating technologies that are used during clinical activities or that are completed by raters after a clinical encounter. In focusing on technologies that are more proximal to practice, we identify tradeoffs with different data collection approaches.
View Article and Find Full Text PDFJAMA Health Forum
December 2024
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Pharmacy (Basel)
December 2024
R&D for Clinical Activity in Telemedicine, Italian National Health Agency-AGENAS, 00187 Rome, Italy.
Atrial fibrillation (AF) is one of the most common cardiac arrhythmias of clinical relevance and a major cause of cardiovascular morbidity and mortality. Following a diagnosis of AF, patients are directed towards therapy with anticoagulant drugs to reduce the thromboembolic risk and antiarrhythmics to control their cardiac rhythm, with periodic follow-up checks. Despite the great ease of handling these drugs, we soon realized the need for follow-up models that would allow the appropriateness and safety of these pharmacological treatments to be monitored over time.
View Article and Find Full Text PDFJ Diabetes Sci Technol
December 2024
CyberActa, Sudbury, MA, USA.
The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution to improve the monitoring and personalization of therapies. However, the integration of such technologies in the clinical setting poses significant challenges related to safety, security, and compliance with sensitive patient data, as well as the potential direct consequences on patient health. This article provides guidance for developers and researchers on identifying and addressing these safety, security, and compliance challenges in AI systems for diabetes management.
View Article and Find Full Text PDFBMJ Open
December 2024
Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Introduction: Children represent a large and vulnerable patient group. However, the evidence base for most paediatric diagnostic and therapeutic procedures remains limited or is often inferred from adults. There is an urgency to improve paediatric healthcare provision based on real-world evidence generation.
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