Project: Providing a Roadmap for Automated Infection Surveillance in Europe
| Acronym | PRAISE (Reference Number: JPIAMR_2018_N016) |
| Duration | 01/01/2019 - 31/10/2020 |
| Project Topic | Surveillance of healthcare-associated infections (HAI), including surgical site infections (SSI) and central line associated bloodstream infections (CLABSI), is a key component of national surveillance programs. Identifying infections – as opposed to colonisation – allows for the quantification of the burden of infections by antimicrobial-resistant (AMR) pathogens and evaluation of the effectiveness of interventions. Traditional surveillance by manual chart review is time-consuming and prone to error, making large-scale standardised surveillance unachievable in many European countries. In recent years automated HAI surveillance systems using data routinely stored in hospital electronic health records have been developed for among others SSI and CLABSI. Advantages of (semi-)automated surveillance include higher quality of surveillance through better standardisation and a 75-95% reduction of manual chart review workload. Automated surveillance is promising, but most of the currently available systems were developed in individual hospitals, and are hence heterogeneous in design, aims, methods and definitions used. In addition, within each centre, many similar challenges and barriers are encountered, but knowledge on how to address them is not widely disseminated, thus making inefficient use of resources and repeatedly requiring considerable investments. Within the PRAISE network, we aim to design a shared roadmap to move automated surveillance from the research setting to large-scale implementation. PRAISE will deliver: 1. A roadmap to automated HAI surveillance, describing requirements of automated surveillance systems and one or more possible trajectories towards their design. 2. A research agenda to support future development efforts. 3. Guidance documents regarding regulatory and governance barriers, IT and data management solutions and training needs. PRAISE will organise two workshops and divide tasks among subgroups. The PRAISE network uniquely brings together experts working in the field of surveillance, with representatives from hospitals as well as public health institutes. The output of the network will improve AMR surveillance by providing the guidance necessary to develop high-quality automated surveillance tools for HAI, caused by AMR and susceptible pathogens. |
| Website | visit project website |
| Network | JPI AMR |
| Call | 7th Joint Call of JPIAMR |