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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…mehr

Produktbeschreibung
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.
Autorenporträt
Omotosho Adebayo holds a Bachelor of Technology (B.Tech) degree and Master of Technology (M.Tech) degree in Computer Science from Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria. His research areas include Telemedicine, Intelligent Systems and wireless communications.