Semi-automated detection of surgical-site infections using a simple and effective hospital data-based algorithm in the national surveillance system in France
The SPICMI algorithm shows potential to support efficient use of time and resources in SSIs surveillance management. Further evaluation is needed with a broader panel of surgery procedures.
Authors
- B. Nkoumazok
- Isabelle Arnaud (ORCID: https://orcid.org/0009-0003-9455-402X)
- Niki Christou
- Pascal Astagneau (ORCID: https://orcid.org/0000-0001-5828-6839)
- Patrice Baillet
- D Verjat-Trannoy
- Juliette Auraix
- Nabil Benhajkassen
- Rebecca Bauer
- Ben Woodly Rigaud
- Karin Lebascle
Institutions
- Inserm (FR)
- Gendarmerie Nationale (FR)
- Sorbonne Université (FR)
- Center for Prevention and Treatment of Infections (US)
- Centre de Recherche en Informatique (FR)
- Institut Pierre Louis d‘Épidémiologie et de Santé Publique (FR)
- Université de Limoges (FR)
Publication Details
- Journal
- Infection Control and Hospital Epidemiology
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1017/ice.2025.10379
- Primary Topic
- Surgical site infection prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00