Mobile Clinical Scale Collection System for In-Hospital Stroke Patient Assessments Using Html5 Technology

Abstract

Clinical scale is a very important means of measuring and recording patient status, especially for capturing features that are not directly reflected by biochemical tests. In this paper, we develop a clinical scale collection system which enables doctors to record patient information during hospital rounds in real-time via different mobile platforms such as Android, iOS or others. The system adopts web technology that is base on the standard of Hypertext Markup Language 5.0 (HTML5) on the client, which solves the issue of platform compatibility of between systems. The technology of web service that uses the style of Representational State Transfer (REST) not only optimizes the logical structure of the system but also increase the system’s scalability, and the stable MySQL database increases the security and stability of the system’s data storage. The system has been adopted in a traditional Chinese medicine hospital for in-hospital monitoring and assortment of stroke rehabilitation patients and played quite a helpful role in patient management and clinical assertions.