Project Details
Description
Project tasks:
Conduct an expanded verification of nosocomial infections (NCIs) and analyze the impact of human factors on their spread in Latvia’s largest hospital (East Hospital), utilizing microbiological, clinical, and other identification tools, including machine learning (ML);
Define criteria for monitoring NCIs and staff behavioral patterns, developing implementation algorithms and roadmaps;
Develop and pilot a training program for healthcare staff to reduce NCI risks.
Planned results:
Manual prepared for submission to the Centre for Disease Prevention and Control (Latvia), which will include: Mathematical tool for predicting NCI:; Checklist for predicting and detecting NCI in hospitalized patients; Evaluation of new microbiological tests applied within project;
Clinical recommendations and instructions for using the NCI tool in the form of algorithms and roadmaps;
Developed training program on reducing the risk of NCI for HCW;
Training on reducing the risk of NCI conducted for ~500 HCW.
Conduct an expanded verification of nosocomial infections (NCIs) and analyze the impact of human factors on their spread in Latvia’s largest hospital (East Hospital), utilizing microbiological, clinical, and other identification tools, including machine learning (ML);
Define criteria for monitoring NCIs and staff behavioral patterns, developing implementation algorithms and roadmaps;
Develop and pilot a training program for healthcare staff to reduce NCI risks.
Planned results:
Manual prepared for submission to the Centre for Disease Prevention and Control (Latvia), which will include: Mathematical tool for predicting NCI:; Checklist for predicting and detecting NCI in hospitalized patients; Evaluation of new microbiological tests applied within project;
Clinical recommendations and instructions for using the NCI tool in the form of algorithms and roadmaps;
Developed training program on reducing the risk of NCI for HCW;
Training on reducing the risk of NCI conducted for ~500 HCW.
| Status | Active |
|---|---|
| Effective start/end date | 1/11/24 → 31/03/26 |
| Links | https://www.rsu.lv/en/project/development-criteria-limiting-nosocomial-infections-and-optimization-healthcare-resources |
Collaborative partners
- Rīga Stradiņš University (lead)
- Riga East University Hospital
Keywords
- nosocomial infections (NCI)
- spread of NCI
- detecting NCI
- new microbiological tests
- Clinical recommendations
- reducing the risk of NCI
Field of Science
- 3.2 Clinical medicine
- 3.3 Health sciences
Smart Specialization Area
- Biomedicine, medical technologies and biotechnology
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