In this work, BiPbCu SeO ( = 0, 0.02, 0.06, and 0.
View Article and Find Full Text PDFStud Health Technol Inform
January 2024
Surveillance of invasive fungal infection (IFI) requires laborious review of multiple sources of clinical information, while applying complex criteria to effectively identify relevant infections. These processes can be automated using artificial intelligence (AI) methodologies, including applying natural language processing (NLP) to clinical reports. However, developing a practically useful automated IFI surveillance tool requires consideration of the implementation context.
View Article and Find Full Text PDFBackground: The Antifungal National Antimicrobial Prescribing Survey (AF-NAPS) was developed to undertake streamlined quality audits of antifungal prescribing. The validity and reliability of such tools is not characterized.
Objectives: To assess the validity and reliability of the AF-NAPS quality assessment tool.
Invasive fungal infections (IFIs) are particularly dangerous to high-risk patients with haematological malignancies and are responsible for excessive mortality and delays in cancer therapy. Surveillance of IFI in clinical settings offers an opportunity to identify potential risk factors and evaluate new therapeutic strategies. However, manual surveillance is both time- and resource-intensive.
View Article and Find Full Text PDFThis article introduces the fourth update of the Australian and New Zealand consensus guidelines for the management of invasive fungal disease and use of antifungal agents in the haematology/oncology setting. These guidelines are comprised of nine articles as presented in this special issue of the Internal Medicine Journal. This introductory chapter outlines the rationale for the current update and the steps taken to ensure implementability in local settings.
View Article and Find Full Text PDF