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.
[1]
S. Sidney,et al.
Short-term prognosis after emergency department diagnosis of TIA.
,
2000,
JAMA.
[2]
Ashley C. Mull.
Validation and Refinement of Scores to Predict Very Early Stroke Risk after Transient Ischemic Attack
,
2007
.
[3]
A. Demchuk,et al.
An Improved Scoring System for Identifying Patients at High Early Risk of Stroke and Functional Impairment after an Acute Transient Ischemic Attack or Minor Stroke
,
2008,
International journal of stroke : official journal of the International Stroke Society.
[4]
J. Mant,et al.
Varying uses of the ABCD2 scoring system in primary and secondary care: a qualitative study
,
2012,
BMJ Open.
[5]
S Claiborne Johnston,et al.
Validation and refinement of scores to predict very early stroke risk after transient ischaemic attack
,
2007,
The Lancet.