A Secure Intelligent Decision Support System for Prescribing Health Medications

Abstract

The process of electronic approach to writing and sending medical prescription promises to improve patient safety, healthoutcomes, maintaining patients’ privacy, promoting clinician acceptance and prescription security when compared with thecustomary paper method. Traditionally, medical prescriptions are typically handwritten or printed on paper and handdeliveredto pharmacists. Paper-based medical prescriptions are generating major concerns as the incidences of prescriptionerrors have been increasing and causing minor to serious problems to patients, including deaths. In this paper, intelligent eprescriptionmodel that comprises a knowledge base of drug details and an inference engine that can help in decision makingwhen writing a prescription was developed. The research implements the e-prescription model with multifactorauthentication techniques which comprises password and biometric technology. Microsoft Visual Studio 2008, using C#programming language, and Microsoft SQL Server 2005 database were employed in developing the system’s front end andback end respectively. This work implements a knowledge base to the e-prescription system which has added intelligence forvalidating doctor’s prescription and also added security feature to the e-prescription system..Key words: e-Prescription, biometrics prescription, secured prescription, intelligent systems. DSS.