Abstrait

Development and validation of a clinical decision support system for optimizing antibiotic prescribing in hospitalized patients.

Chunyan Li*

Antibiotic prescribing practices play a crucial role in patient outcomes and the emergence of antimicrobial resistance. This study aims to develop and validate a clinical decision support system (CDSS) to optimize antibiotic prescribing in hospitalized patients. The CDSS will provide evidence-based recommendations, taking into account patient characteristics, microbiology data, and local resistance patterns. This paper describes the development and validation process of the CDSS, highlighting its potential impact on improving patient care and reducing the misuse of antibiotics. The study involved a comprehensive literature review, development of decision algorithms, and rigorous validation using real-world patient data. The CDSS demonstrated high accuracy and reliability in providing antibiotic recommendations, and its integration into clinical workflows has the potential to enhance antibiotic stewardship and patient safety.