Multi Agent Monitoring And Support System For Tuberculosis Treatment
The prevalence of tuberculosis (TB) has economic and social effect not only to the patient and patient’s family but also to the country at large .Tuberculosis is an important and growing problem in many developing countries. New strategies have been developed to combat the disease but require strictly followed treatment regimens and close monitoring of patients' bacteriology results. The new strategies require a long-term relationship with the patient, accurate and accessible records of each patient’s history and methods to track his/her progress. This can be achieved by closely monitoring the health status of the patient from when the disease is discovered till when the patient is pronounced cured. An agent based approach has been widely used for monitoring and management of applications in health care setup. In this study, agent based software engineering approach is used to design and implement agent based software for enrolling patients, tracking follow up patterns and Pattern of sputum results for TB patients. The data and reports can be linked together for decision making. The model consists of a team of intelligent agents that capture, work collectively to analyze it and then display the health status of the patient to the user.