Abstract:
E-prescription systems are the way of using computing devices to input, amend or review
medication prescriptions. These systems are difficult to manage and develop as low-level
implementations are carried out separately during system development and can essentially require
analysis after implementation. As today’s modern technology is raising the need for a more
accurate way of electronically prescribing treatments to patients is required. Existing literature has
tried to accomplish the objective of how to reduce development complexity, do analysis and testing
of the system at development time. However, these issues can be resolved using Model-DrivenArchitecture (MDA), which is commonly utilized in the implementation of automation systems of
healthcare and monitoring, etc. The following are the contributions of this paper: 1) a framework
named as “Model-Driven Framework to Recommend E-Prescriptions” is proposed. 2)
Specifically, a meta-model for e-prescription is presented. It decides which recommendations
should be given to the prescriber that will make it more user-centered while minimizing the error
rate in the procedure. Consequently, the proposed meta-model makes the system less complex and
more testable. This meta-model is modeled and visualized using the Eclipse Modeling Framework
(EMF) and visually represented using the Sirius tool. It also provides a foundation for M2M and
M2T model conversions using the Acceleo to generate functional Python code.
