Collaborative Support for Medical Data Mining in Telemedicine

An advance in today´s information communication technology (ICT) has opened an opportunity for healthcare industry to enhance and improve the quality of their services. Decision makers are now able to make their decisions accurately and precisely with the helps of computer-based decision support system. Sharing of patient´s medical records is not a new approach. From paper based format to electronic format, patient´s medical records are shared among physicians, medical staffs and etc. Shared data might be carried manually from one department to another department or sent physically from hospital to hospital. With Internet technology, some medical data were sent via e-mail. These methods encountered many problems to patients and practitioners. Security and privacy issues, data lost, and delivery durations were some of the concerns that should be overcome. This paper will discussed an idea on how to overcome above mentioned issues and proposed a solution that can be served as the platform for future medical data sharing in telemedicine. The successful development of the working prototype will greatly enhance the functionality of existing data sharing in the hospital. At the same time, the tools and algorithms designed in this idea will helps to solve some of the data mining challenges