Methods, architecture, evaluation and usability of a case-based antibiotics advisor

Area of Science:

• Medical Informatics
• Clinical Decision Support Systems
• Pharmacology

Background:

• Antibiotic resistance necessitates advanced tools for optimal therapy selection.
• Clinical decision support systems can aid in managing complex antibiotic regimens.
• The ICONS project developed a comprehensive antibiotic therapy advisor.

Purpose of the Study:

• To assess the usability and effectiveness of the developed antibiotic therapy advisor.
• To evaluate the system's architecture, reasoning methods, and medical evaluation outcomes.
• To identify challenges in system transferability and adaptation to local contexts.

Main Methods:

• System architecture design and implementation.
• Application of case-based reasoning for therapy recommendations.
• Medical evaluations focusing on therapy quality, user-friendliness, and lab result interpretation.

Main Results:

• The antibiotic therapy advisor demonstrated acceptable usability and user-friendliness.
• Medical evaluations indicated good quality in recommended therapies.
• System performance was assessed regarding laboratory result interpretation.

Conclusions:

• The developed antibiotic therapy advisor is a usable tool for clinical decision support.
• Challenges remain in system transferability and adaptation to local antibiotic susceptibility patterns and dosing.
• Further development is needed to address site-specific customization for broader implementation.