AIMC Topic: Cross Infection

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Clinical decision support systems at the Vienna General Hospital using Arden Syntax: Design, implementation, and integration.

Artificial intelligence in medicine Dec 1, 2015
INTRODUCTION: The Allgemeines Krankenhaus Informations Management (AKIM) project was started at the Vienna General Hospital (VGH) several years ago. This led to the introduction of a new hospital information system (HIS), and the installation of the ...
Tacrolimus Programming Languages Expert Systems Cross Infection Hospital Information Systems Neoplasm Metastasis Medical Informatics Melanoma Risk Assessment Decision Support Systems, Clinical Artificial Intelligence Kidney Transplantation Intensive Care Units Humans
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Using Arden Syntax Medical Logic Modules to reduce overutilization of laboratory tests for detection of bacterial infections-Success or failure?

Artificial intelligence in medicine Sep 25, 2015
OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated measurements of the procalcitonin (PCT) biomarker are typically used for early detection and follow up of bacterial infections and sepsis, but those ...
Prospective Studies Longitudinal Studies Intensive Care Units Procalcitonin Humans Bacterial Infections Artificial Intelligence Severity of Illness Index Attitude of Health Personnel Cross Infection Decision Support Systems, Clinical Programming Languages Medical Overuse Expert Systems Hematologic Tests Medical Informatics
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[Infection prevention check-in and infection prevention check-out to prevent nosocomial infections].

Zentralblatt fur Chirurgie Nov 12, 2009
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of the proven anti-infective measures in form of the multi-barrier strategy or the so-called bundles. In daily practice it is important to follow the fixe...
Cross Infection Preoperative Care Antisepsis Quality Assurance, Health Care Humans Checklist Postoperative Care Germany Surgical Wound Infection
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Real-time FT-IR typing of Klebsiella pneumoniae: a flexible and rapid approach for outbreak detection and infection control.

The Journal of antimicrobial chemotherapy Jul 1, 2025
BACKGROUND: Expansion of carbapenemase-producing Klebsiella pneumoniae (CP-Kp) is driven by within-hospital transmission, requiring timely typing data for effective infection control.
Humans Sensitivity and Specificity Disease Outbreaks Infection Control Cross Infection Multilocus Sequence Typing Portugal Bacterial Typing Techniques Klebsiella pneumoniae Klebsiella Infections Spectroscopy, Fourier Transform Infrared
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Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis.

Artificial intelligence in medicine Jul 1, 2025
Healthcare-associated infections (HAIs) are a global public health concern, imposing significant clinical and financial burdens. Despite advancements, surveillance methods remain largely manual and resource-intensive, often leading to underreporting....
Cross Infection Humans Artificial Intelligence
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Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care.

American journal of infection control Jun 1, 2025
BACKGROUND: Personal protective equipment (PPE) is a first-line transmission-based precaution for reducing the spread of nosocomial infections between health care workers (HCWs), patients, and staff. The COVID-19 pandemic highlighted a problematic sk...
Australia Cross Infection Personal Protective Equipment Prospective Studies Female SARS-CoV-2 Middle Aged Infection Control Adult Artificial Intelligence Male Humans COVID-19 Health Personnel
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Aged, 80 and over Adult Male Severity of Illness Index Length of Stay Iatrogenic Disease Middle Aged Predictive Learning Models Risk Assessment Retrospective Studies Intensive Care Units Female Aged Humans Logistic Models Artificial Intelligence Operative Time Machine Learning Decision Trees Early Diagnosis Cross Infection Western Australia
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Harnessing artificial intelligence for infection control and prevention in hospitals: A comprehensive review of current applications, challenges, and future directions.

Saudi medical journal Apr 1, 2025
Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by antibiotic-resistant bacteria. Traditional infection control measures often lack consistency due to variable human compliance. This comprehensive revie...
Humans Artificial Intelligence Hospitals Infection Control Cross Infection
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A Vision on User-Centered Implementation and Evaluation of Explainable AI for Predicting Hospital-Onset Bacteremia.

Studies in health technology and informatics Aug 22, 2024
In recent years, artificial intelligence (AI) has gained momentum in many fields of daily live. In healthcare, AI can be used for diagnosing or predicting illnesses. However, explainable AI (XAI) is needed to ensure that users understand how the algo...
Algorithms Risk Assessment Bacteremia Humans Artificial Intelligence Machine Learning Cross Infection
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Use of artificial intelligence for health care-associated infection surveillance: Correspondence.

American journal of infection control Jul 1, 2024
Humans Cross Infection Epidemiological Monitoring Artificial Intelligence Infection Control
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