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[Evidence-based anti-infective program "ABx" - Online-program for anti-infective therapy broadens functions for local
Sascha Tafelski1, Irit Nachtigall, Tanja Trefzer
1Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin der Charité - Universitätsmedizin Berlin, Campus Charité Mitte und Campus Virchow-Klinikum. sascha.tafelski@charite.de
Implementing evidence-based anti-infective therapies in intensive care units (ICUs) is challenging. A new web-based program and its subproject "ABx local" aim to improve diagnostics and initial anti-infective treatments by integrating guidelines with local standards.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Clinical Pharmacy
Context:
- Evidence-based recommendations for anti-infective therapies in intensive care units (ICUs) present implementation challenges in daily clinical practice.
- Effective and timely anti-infective treatments are crucial for managing severe infections and improving patient outcomes.
- Existing guidelines often lack integration with local institutional standards and resistance patterns.
Purpose:
- To develop a web-based program supporting the implementation of evidence-based anti-infective therapies in ICUs.
- To create interdisciplinary algorithms for immediate diagnostics and initial anti-infective treatment decisions.
- To launch the "ABx local" subproject, unifying guidelines with local standards for optimized therapy selection based on resistance data.
Summary:
- A web-based anti-infective program, supported by the German Society of Anaesthesiology and Intensive Care Medicine and the Association of German Anaesthesiologists (DGAI/BDA), has been developed to address the difficulties in applying evidence-based recommendations in ICUs.
- The program features interdisciplinary algorithms for rapid diagnostics and initial anti-infective therapies.
- "ABx local," a subproject, integrates current evidence-based recommendations with local internal standards and comments on a single platform to prioritize therapy options, considering factors like resistance patterns.
Impact:
- Facilitates the practical application of evidence-based anti-infective guidelines in intensive care settings.
- Aims to improve the quality and timeliness of anti-infective treatments, potentially leading to better clinical outcomes for severe infections.
- Enhances decision-making by providing a unified platform for evidence-based recommendations and local resistance data, optimizing anti-infective therapy selection.
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