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A Smart Card based Campus Dental Clinic Services: Experimental Tests
Palantei E.
2019 IEEE International Conference on Communication Networks and Satellite Comnetsat 2019 Proceedings
Abstract
Patients health records plays very important role in the medical field environment. The medical data recorded could be used as the doctor references for determining the appropriate medical procedures and provide the advanced prompt treatment information to improve the patients' health situation. A common best practice in Indonesia that the medical data recording have been regularly stored using an inefficient paper notes systems. The technique has many limitations. This scientific manuscript summaries the new approach of the dental clinic services based on a smart card transaction that operated and connected to the campus ICT network. A smart card based dental clinical services applied were significantly helping to maintain the administration procedures, the medical service billing/payment and the medical data printing for an authorized purpose. In practice, the smart card was enormously used to run the web based dental clinical application installed in the local cloud server. The proposed clinical service allows more flexible, secure and efficient ways to store the medical data as a doctor completely performed the patient health diagnostic and treatment. A wide accessibility of the recorded medical data is possible to be real timely accessed. It would not only be used by an authorized doctor or nurse on duty in the clinic but it could also be permitted for the patient family and other healthcare centers to access through the internet connection from a remote location for an urgent and specific purpose. Some experimental testing were performed to both smartcard and reader parts in the actual environments. The testing results exhibited the excellent performance improvement of the proposed dental clinical service model of which outperformed the conventional one. The interested testing were uniquely obtained during the computing steps of the KSCI contact smart cards (KSCI - Indonesia Smart Card Consortium). The average programming speed to write the specific IDs of an authorized user into a smart card was in average 0.49 Second. Meanwhile, the average reading time to load the programmed smart card data into the local cloud server where the campus clinical service application installed was abruptly 16.3 Seconds.