  The process of electronic approach to writing and sending medical
prescription promises to improve patient safety, health outcomes, maintaining
patients privacy, promoting clinician acceptance and prescription security when
compared with the customary paper method. Traditionally, medical prescriptions
are typically handwritten or printed on paper and hand-delivered to
pharmacists. Paper-based medical prescriptions are generating major concerns as
the incidences of prescription errors have been increasing and causing minor to
serious problems to patients, including deaths. In this paper, intelligent
eprescription 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. Microsoft Visual Studio 2008, using C-Sharp programming language,
and Microsoft SQL Server 2005 database were employed in developing the systems
front end and back end respectively. This work implements a knowledge base to
the e-prescription system which has added intelligence for validating doctors
prescription and also added security feature to the e-prescription system.
