Zobrazeno 1 - 10
of 272
pro vyhledávání: '"Automated surveillance"'
Autor:
Stephanie M. van Rooden, Suzanne D. van der Werff, Maaike S. M. van Mourik, Frederikke Lomholt, Karina Lauenborg Møller, Sarah Valk, Carolina dos Santos Ribeiro, Albert Wong, Saskia Haitjema, Michael Behnke, Eugenia Rinaldi
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-16 (2024)
Abstract Automation of surveillance of infectious diseases—where algorithms are applied to routine care data to replace manual decisions—likely reduces workload and improves quality of surveillance. However, various barriers limit large-scale imp
Externí odkaz:
https://doaj.org/article/6182736304ae4320a0521d172d859c73
Autor:
Mariana Guedes, Francisco Almeida, Paulo Andrade, Lucybell Moreira, Afonso Pedrosa, Ana Azevedo, Nuno Rocha-Pereira
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-10 (2024)
Abstract Background Surgical site infection (SSI) is an important cause of disease burden and healthcare costs. Fully manual surveillance is time-consuming and prone to subjectivity and inter-individual variability, which can be partly overcome by se
Externí odkaz:
https://doaj.org/article/d2441ac48ef34f82b046aefbf9a8e803
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-11 (2024)
Abstract Background Detection of pathogen-related clusters within a hospital is key to early intervention to prevent onward transmission. Various automated surveillance methods for outbreak detection have been implemented in hospital settings. Howeve
Externí odkaz:
https://doaj.org/article/a758c1190105458780a17a07b72c5942
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Background The digitalization of information systems allows automatic measurement of antimicrobial consumption (AMC), helping address antibiotic resistance from inappropriate drug use without compromising patient safety. Objectives Describe
Externí odkaz:
https://doaj.org/article/b63e0854ea564f8382d34a7aaa315da8
Autor:
Manon Brekelmans, Titia Hopmans, Maaike van Mourik, Sabine de Greeff, Julie Swillens, Stephanie van Rooden
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract Introduction To promote the nation-wide implementation of semi-automated surveillance (AS) of surgical site infection after hip and knee arthroplasty, the Dutch National Institute for Public Health and the Environment (RIVM) deployed a decen
Externí odkaz:
https://doaj.org/article/9853b55bcbf543289cb56e534508679d
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-15 (2024)
Abstract Background Hospital-acquired pneumonia (HAP) and its specific subset, non-ventilator hospital-acquired pneumonia (nvHAP) are significant contributors to patient morbidity and mortality. Automated surveillance systems for these healthcare-ass
Externí odkaz:
https://doaj.org/article/b062c5eec85147a4b596bfce01219948
Autor:
Moa Karmefors Idvall, Hideyuki Tanushi, Andreas Berge, Pontus Nauclér, Suzanne Desirée van der Werff
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Background Continuous surveillance for healthcare-associated infections such as central venous catheter-related bloodstream infections (CVC-BSI) is crucial for prevention. However, traditional surveillance methods are resource-intensive and
Externí odkaz:
https://doaj.org/article/a03e5db8ec8d4b78a12f3585f4af9b8c
Autor:
Janneke D.M. Verberk, Suzanne D. van der Werff, Rebecka Weegar, Aron Henriksson, Milan C. Richir, Christian Buchli, Maaike S.M. van Mourik, Pontus Nauclér
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 12, Iss 1, Pp 1-10 (2023)
Abstract Background In patients who underwent colorectal surgery, an existing semi-automated surveillance algorithm based on structured data achieves high sensitivity in detecting deep surgical site infections (SSI), however, generates a significant
Externí odkaz:
https://doaj.org/article/3f24520fa77848019be6bba88c353d7d
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Autor:
Suzanne D. van der Werff, Janneke D.M. Verberk, Christian Buchli, Maaike S.M. van Mourik, Pontus Nauclér
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 12, Iss 1, Pp 1-5 (2023)
Abstract Background Automated surveillance methods that re-use electronic health record data are considered an attractive alternative to traditional manual surveillance. However, surveillance algorithms need to be thoroughly validated before being im
Externí odkaz:
https://doaj.org/article/4447711ce63d4f80b10d9c0c1f95eba7