Frontiers in Health Informatics
Volume:3 Issue: 2, 2014

Classification system (XCS)as one of the most successful Learning Agents for solving known issues. Rules based on its accuracy in predicting the reward received from the environment, and evaluate the use of Genetic Algorithms is updated.. This paper uses data and proposed method to learn system and Using test data to evaluate performance of system. The effectiveness of the method by comparing the results with the results of other papers will be evaluated.

Personnel readiness is an important factor to success implementation of Electronic Health Record (EHR). The aim of this study was to assess laboratory and imaging staff to implementation of EHR. This descriptive- cross sectional study was conducted in 2013. Through a cluster sampling, the computer skills, knowledge and attitude of 54 personnel were assessed using a self-structured questionnaire. The mean of computer skills, knowledge and attitude of participants was 42.4%, 46.4% and 66.0%, respectively. The mean of overall readiness was 56%. It is recommended that the job training and introduction to information systems concept in laboratory and imaging student syllabus should be considered. User’s participation in the implementation of EHR can be effective.