ReviewAntimicrobial stewardship & healthcare epidemiology : ASHE2023
Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III).
Review in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05020418 (Promoting De-Implementation of Inappropriate Antimicrobial Use in Cardiac Device Procedures By Expanding Audit and Feedback), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Promoting De-Implementation of Inappropriate Antimicrobial Use in Cardiac Device Procedures By Expanding Audit and Feedback
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for infection surveillance, risk stratification, and antimicrobial decision support in acute-care hospitals: a scoping review.Frontiers in artificial intelligence · 2026Pooled it
- The Best of Both Worlds: How Combining a Large Language Model and a Rule-Based Algorithm Makes Catheter-Associated Urinary Tract Infection Surveillance More Efficient.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- Tracheostomy and Ventilator-Associated Pneumonia in Mechanically Ventilated ICU Patients: A Retrospective Matched Cohort Study.Journal of clinical medicine · 2026Article
- Current state and potential of hospitals for automated healthcare-associated infection surveillance: data from 24 European countries, 2022 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Hidden failure modes of large language models in healthcare-associated infection surveillance: a structured evaluation using NHSN definitions.Infection control and hospital epidemiology · 2026Article
- Leveraging a large language model to support expansion of surveillance activities to include cardiovascular implantable device infections in a large, integrated national healthcare system.Infection control and hospital epidemiology · 2026Article
- Feasibility of semiautomated surveillance of healthcare-associatedBMJ health & care informatics · 2025Article
- The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.Journal of internal medicine · 2025Review
- The informatics pathway for hospital infection quality control monitoring.Frontiers in public health · 2025Article
- Federated systems for automated infection surveillance: a perspective.Antimicrobial resistance and infection control · 2024Review
- Surgical site infection surveillance in knee and hip arthroplasty: optimizing an algorithm to detect high-risk patients based on electronic health records.Antimicrobial resistance and infection control · 2024Article
- Automated surveillance of antimicrobial consumption in intensive care, northern Sweden: an observational case study.Antimicrobial resistance and infection control · 2024Observational
- Surveillance of catheter-associated bloodstream infections: development and validation of a fully automated algorithm.Antimicrobial resistance and infection control · 2024Article
- Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review.Antibiotics (Basel, Switzerland) · 2024Article
- Application of OpenAI GPT-4 for the retrospective detection of catheter-associated urinary tract infections in a fictitious and curated patient data set.Infection control and hospital epidemiology · 2024Article
- Utility of syndromic surveillance for the surveillance of healthcare-associated infections in resource-limited settings: a narrative review.Frontiers in microbiology · 2024Review
- Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III).Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Review
- The future of automated infection detection: Innovation to transform practice (Part III/III).Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infection surveillance is one of the cornerstones of infection prevention and control. Measurement of process metrics and clinical outcomes, such as detection of healthcare-associated infections (HAIs), can be used to support continuous quality improvement. HAI metrics are reported as part of the CMS Hospital-Acquired Conditions Program, and they influence facility reputation and financial outcomes.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.