AIMC Topic: Cross Infection

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Artificial intelligence for training and reporting infection prevention measures in critical wards.

Frontiers in public health Oct 16, 2024
Infection Control Cross Infection Hand Disinfection Humans Artificial Intelligence Hand Hygiene
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Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.

Anaesthesia, critical care & pain medicine Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Adult Sensitivity and Specificity Male Middle Aged Shock, Septic Risk Assessment Machine Learning Humans Critical Care Sepsis Intensive Care Units Early Diagnosis Hospital Mortality Female Cross Infection ROC Curve Aged
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Integration of an electronic hand hygiene auditing system with electronic health records using machine learning to predict hospital-acquired infection in a health care setting.

American journal of infection control Sep 21, 2024
BACKGROUND: Hospital-acquired infections (HAIs) increase morbidity, mortality, and health care costs. Effective hand hygiene (HH) is crucial for prevention, but achieving high compliance remains challenge. This study explores using machine learning t...
Middle Aged Brazil Hospitals Hand Hygiene Infection Control Guideline Adherence Cross Infection Female Aged Adult Male Humans Machine Learning Retrospective Studies Electronic Health Records
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Development and evaluation of a model for predicting the risk of healthcare-associated infections in patients admitted to intensive care units.

Frontiers in public health Sep 12, 2024
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-associated infections (HAIs) in patients admitted to intensive care units (ICUs). A total of 2,517 patients treated in the ICU of a tertiary hospital in Ch...
Cross Infection Machine Learning Retrospective Studies Humans Middle Aged Risk Factors Intensive Care Units Risk Assessment Aged Female China Adult Tertiary Care Centers Male
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Development and validation of prediction models for nosocomial infection and prognosis in hospitalized patients with cirrhosis.

Antimicrobial resistance and infection control Aug 7, 2024
BACKGROUND: Nosocomial infections (NIs) frequently occur and adversely impact prognosis for hospitalized patients with cirrhosis. This study aims to develop and validate two machine learning models for NIs and in-hospital mortality risk prediction.
Prognosis Female Risk Factors Hospitalization Humans Machine Learning Algorithms Hospital Mortality Liver Cirrhosis Area Under Curve Cross Infection Aged Male Middle Aged Risk Assessment
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Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data.

Antimicrobial resistance and infection control Jul 6, 2024
BACKGROUND: Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO p...
ROC Curve Cross Infection Adult Male Middle Aged Drug Resistance, Multiple, Bacterial Humans Electronic Health Records Machine Learning Female Anti-Bacterial Agents Aged Intensive Care Units
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Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods.

BMC public health Jul 4, 2024
BACKGROUND: Nosocomial infections with heavy disease burden are becoming a major threat to the health care system around the world. Through long-term, systematic, continuous data collection and analysis, Nosocomial infection surveillance (NIS) system...
Cross Infection Humans Machine Learning Risk Factors Risk Assessment China Incidence
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Video-based automatic hand hygiene detection for operating rooms using 3D convolutional neural networks.

Journal of clinical monitoring and computing Jun 19, 2024
Hand hygiene among anesthesia personnel is important to prevent hospital-acquired infections in operating rooms; however, an efficient monitoring system remains elusive. In this study, we leverage a deep learning approach based on operating room vide...
Video Recording Anesthesiology Algorithms Cross Infection Operating Rooms Sensitivity and Specificity Deep Learning Hand Hygiene Humans Neural Networks, Computer
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Machine learning evaluation of inequities and disparities associated with nurse sensitive indicator safety events.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing May 21, 2024
PURPOSE: To use machine learning to examine health equity and clinical outcomes in patients who experienced a nurse sensitive indicator (NSI) event, defined as a fall, a hospital-acquired pressure injury (HAPI) or a hospital-acquired infection (HAI).
Cross Infection Humans Pressure Ulcer Machine Learning Male Retrospective Studies Patient Safety Middle Aged Female Accidental Falls Aged Healthcare Disparities Adult
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Prediction of hospital-acquired influenza using machine learning algorithms: a comparative study.

BMC infectious diseases May 2, 2024
BACKGROUND: Hospital-acquired influenza (HAI) is under-recognized despite its high morbidity and poor health outcomes. The early detection of HAI is crucial for curbing its transmission in hospital settings.
Aged Aged, 80 and over Young Adult Adult Male Middle Aged Influenza, Human ROC Curve Humans Cross Infection Logistic Models Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Female
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