ReviewAntimicrobial stewardship & healthcare epidemiology : ASHE2023
The future of automated infection detection: Innovation to transform practice (Part III/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 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Artificial intelligence for infection surveillance, risk stratification, and antimicrobial decision support in acute-care hospitals: a scoping review.Frontiers in artificial intelligence · 2026Pooled it
- Requirements and Implementation Challenges of Automated Outbreak Detection Systems in the European Union: Mixed Methods Study.JMIR public health and surveillance · 2026Article
- The Role of Artificial Intelligence in Herpesvirus Detection, Transmission, and Predictive Modeling: With a Special Focus on Marek's Disease Virus.Pathogens (Basel, Switzerland) · 2025Review
- The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.Journal of internal medicine · 2025Review
- Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA.Emerging infectious diseases · 2025Article
- Learning health systems on the front lines to strengthen care against future pandemics and climate change: a rapid review.BMC health services research · 2024Review
- Confronting the Disruption of the Infectious Diseases Workforce by Artificial Intelligence: What This Means for Us and What We Can Do About It.Open forum infectious diseases · 2024Review
- Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III).Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Review
- Automating surveillance for healthcare-associated infections: Rationale and current realities (Part I/III).Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Review
- The leading global health challenges in the artificial intelligence era.Frontiers in public health · 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
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current methods of emergency-room-based syndromic surveillance were insufficient to detect early community spread of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in the United States, which slowed the infection prevention and control response to the novel pathogen. Emerging technologies and automated infection surveillance have the potential to improve upon current practice standards and to revolutionize the practice of infection detection, prevention and control both inside and outside of healthcare settings. Genomics, natural language processing, and machine learning can be leveraged to improve identification of transmission events and aid and evaluate outbreak response. In the near future, automated infection detection strategies can be used to advance a true "Learning Healthcare System" that will support near-real-time quality improvement efforts and advance the scientific basis for the practice of infection control.
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.