Nowaday, ubiquitous health system is reshaping the research in the medical domain due to its potential to concurrently overcome the challenges encountered in the traditional healthcare systems. Prediction of exacerbation of Chronic Obstructive Pulmonary Disease (COPD) is considered incurable disease and the fourth difficult problem in the medical field. Many issues face researchers in the medical domain, such as modelling context (risk factors) of a patient, uncertainty, accuracy of these factors and their relationship, and preventing exacerbation. These issues have been handled in may research projects. However, healthcare systems for COPD needs to represent the risk facors and to design rules to increase the accuracy. In addition, traditional treatment plan and non-fully automatic applications are still used and have many issues, such as accuracy and performance. The goal of this research is to build reliable mechanisms to improve life quality of COPD patients and to protect them against risk factors. In this talk, I will present COPD healthcare architectural model including context modelling, context representation and rule-based recommendations.