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Development of criteria for limiting nosocomial infections and optimization of healthcare resources with application algorithms and roadmaps

  • Vīksna, Ludmila (Project leader)
  • Plaudis, Haralds (Member of project working group)
  • Koļesova, Oksana (Member of project working group)
  • Eglīte, Maija (Member of project working group)
  • Koļesovs, Aleksandrs (Member of project working group)
  • Ivanovs, Andrejs (Member of project working group)
  • Proskurins, Jevgenijs (Member of project working group)
  • Madelāne, Monta (Member of project working group)
  • Žilde, Anna (Member of project working group)
  • Lakiša, Svetlana (Member of project working group)
  • Paegle, Diāna Inga (Member of project working group)
  • Lībere, Linda (Member of project working group)
  • Jegorova, Jekaterina (Member of project working group)
  • Bērziņa, Lauma (Member of project working group)
  • Vaivods, Rihards Voldemārs (Member of project working group)
  • Novika , Linda (Member of project working group)
  • Kaulakane, Agnese (Member of project working group)
  • Bantauska, Dace (Member of project working group)
  • Jansone, Vineta (Other)
  • Pulmanis, Emīls (Partner's coordinator)
  • Liepiņš, Māris (Other)
  • Niedre-Otomere, Baiba (Other)
  • Mukāns, Maksims (Member of project working group)
  • Vanaga, Ieva (Member of project working group)
  • Karelis, Guntis (Member of project working group)
  • Zeltiņa, Indra (Member of project working group)
  • Laivacuma, Sniedze (Member of project working group)
  • Storoženko, Jeļena (Member of project working group)
  • Savicka, Oksana (Member of project working group)
  • Krūmiņa, Angelika (Member of project working group)
  • Eglīte, Laila (Member of project working group)
  • Mītniece, Laura (Member of project working group)

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.
StatusFinished
Effective start/end date1/11/24 → 31/03/26

Collaborative partners

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

Research economic activity type

  • Non-economic activity

Smart specialization area

  • 2. Biomedicine, medical technologies and biotechnology

Research category

  • Industrial research

Project subtype

  • Research projects funded by the Recovery Fund

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