Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2015 | arXiv: Computers and Society | Data mining,World Wide Web,Intelligent decision support system,Patient safety,Computer security,Computer science,Microsoft Visual Studio,Password,Inference engine,Knowledge base,Multi-factor authentication,Medical prescription |
DocType | Volume | ISSN |
Journal | abs/1503.08158 | CISDI 3:3 9-18 |
Citations | PageRank | References |
1 | 0.63 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adebayo Omotosho | 1 | 6 | 5.11 |
| Justice Emuoyibofarhe | 2 | 4 | 3.03 |