Clinical Decision Support based on Mobile Telecommunication Systems

Abstract

In early 1980s, many medical expert systems were developed with knowledgebase which are acquired from medical experts, and their performance was almost as good as domain experts. However, they were not frequently used mainly due to the poor user interfaceand the lack in learning new knowledge. However, the solutions of these two problems have been introduced since 1990s. For the latter problem, machine learning methods have provided several solutions, and for the former problem, the rapid progress of webtechnologies enables us to implement a good user interface. Furthermore, recent advances in computer resources strengthen these two solutions. In this paper, we focus on the application of knowledge engineering techniques to medical mobile communication network, where the web intelligence technologies are used for an efficient interface of medical expert system. Then, the system was put on the internet to provide an intelligent decision support in tele-medicine and is now being evaluated by region medicalhome doctors. The results show that such an internet-based medical decision support enables home doctors to take a quick action to the applied domain.