Medical prescription model based on a Web Application

In this paper, we propose a medical prescription model for the issuance of an automatic prescription that will be approved by a doctor in charge, based on the selected symptoms. The model is implemented within a web application that allows the collection of the patient's medical record and symptomatology to facilitate their care and the prescription of medical prescriptions. It should be noted that the patient is autonomous to record their medical record and symptoms, which are compared with the database of the web application to generate the automatic medical prescription. The problem is based on the limitations that patients present to schedule a medical appointment in a health center and the high rate of self-medication present in Peru. The proposal uses a learning algorithm that is deployed on a Cloud platform to access medical information quickly contemplating the phases: 1. Data capture, 2. Data integration, 3. Cloud storage and 4. Presentation and follow-up. The medical prescription model implemented has been validated and tested through the execution of acceptance tests by patients and doctors from Lima, Peru, resulting in the reduction of the prescription time of a medical prescription by 68%.