Traditionally, medical prescriptions are typically handwritten or printed on paper and hand-delivered to pharmacists. Paper-based medical prescription is generating major concerns as the incidences of prescription errors have been increasingly causing minor to serious problems to patients, including deaths. In this research, an intelligent e-prescription model that comprises a knowledge base of drug details and an inference engine that can help in decision making when writing a prescription was developed. The research implements the e-prescription model with multifactor authentication techniques which comprises password and biometric technology. The result of the system evaluation carried out on six indices with twenty-four recommendations from the Modified Delphi Panel Process showed that the system on the average met over 70% of the recommendations for secured and intelligent prescription system compared to the conventional paper approach.