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.
翻译:与习惯的纸质方法相比,以电子方式撰写和发送处方的过程有望改善病人的安全、健康结果、维护病人隐私、促进临床接受和处方安全,传统上,医疗处方通常是手写或纸面印刷,并亲手交给药剂师; 纸质处方正在引起重大关切,因为处方错误的发生率不断增加,给病人,包括死亡等,造成了轻微严重的问题; 在本报告中,开发了智能电子处方模式,其中包括药物细节知识库和推理引擎,有助于在撰写处方时作出决策; 研究采用包括密码和生物鉴别技术在内的多要素认证技术来实施电子处方模式; 2008年微软视觉演播室,使用C-Sharp编程语言; 2005年微软SQL服务器数据库,分别用于开发系统前端和后端; 这项工作为电子处方系统建立了一个知识库,增加了验证医生处方药的智能,并为电子处方系统增加了安全特征。