An Online Prescription Error Checking Expert System for Community Pharmacies

R. Tsai, D. Zhang, and M. Lu (USA)


Community pharmacies, prescription verification, online expert system, JESS, J2EE.


This paper describes an online prescription error checking expert system for community pharmacies. The system is meant to help pharmacists check for errors and potential adverse effects in prescriptions. Six types of anomalous situations are considered: drug allergy, drug overdose, drug-drug interaction, duplicated drug, pregnant patients with certain categories of prescriptions, and breast feeding patients with certain prescriptions. The system is developed using the JESS expert system shell and J2EE technology. The prototype of the system has a knowledge base for over 830 prescription drugs and can be easily expanded to include additional drugs. Pharmacists from two separate pharmacies have evaluated the performance of the system.

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