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Creating an ontology for an antibiotic prescribing decision support system
Tiffani J Bright1, E Yoko Furuya, Gilad J Kuperman
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
Summary
Antimicrobial resistance is a growing threat. This study introduces an ontology within a clinical decision support system (CDSS) to improve antibiotic prescribing and combat resistance.
Area of Science:
- Medical Informatics
- Pharmacology
- Clinical Decision Support
Background:
- Antimicrobial resistance (AMR) is a significant global health threat.
- Inappropriate antibiotic prescribing is a major driver of AMR.
- Clinical decision support systems (CDSS) can aid prescribing, but ontology integration for antibiotic therapy is underexplored.
Purpose of the Study:
- To develop and evaluate an ontology for a CDSS module.
- To generate antibiotic-mismatch alerts for judicious antibiotic prescribing.
Main Methods:
- Ontology creation for antibiotic selection and dosing.
- Integration into a CDSS module.
- Evaluation of alert generation for prescribing guidance.
Main Results:
- An ontology was developed to support antibiotic therapeutic planning.
- The ontology-enabled CDSS module generates targeted antibiotic-mismatch alerts.
- The system aims to guide clinicians toward appropriate antibiotic use.
Conclusions:
- Ontology-driven CDSS can effectively support appropriate antibiotic prescribing.
- This approach offers a promising strategy to mitigate antimicrobial resistance.
- Further evaluation is needed to confirm clinical impact.
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