PRAISE: Providing a Roadmap for Automated Infection Surveillance in Europe
van Mourik, Maaike S M; van Rooden, Stephanie M; Abbas, Mohamed; Aspevall, Olov; Astagneau, Pascal; Bonten, Marc J M; Carrara, Elena; Gomila-Grange, Aina; de Greeff, Sabine C; Gubbels, Sophie; Harrison, Wendy; Humphreys, Hilary; Johansson, Anders; Koek, Mayke B G; Kristensen, Brian; Lepape, Alain; Lucet, Jean-Christophe; Mookerjee, Siddharth; Naucler, Pontus; Palacios-Baena, Zaira R; Presterl, Elisabeth; Pujol, Miquel; Reilly, Jacqui; Roberts, Christopher; Tacconelli, Evelina; Teixeira, Daniel; Tängdén, Thomas; Valik, John Karlsson; Behnke, Michael; Gastmeier, Petra; Praise, Network
Clinical Microbiology and Infection, Volume 27, Supplement 1, July 2021, Pages S3-S19
Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes. Conventional surveillance - manual chart review - is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care.