Medical data management
Karol Matiaško, Michal Kvet · 2017
Medical data requires high precision and effectivity of the management of measured parameters. Commonly, patients are monitored long time to get the image of the evolution and response to treatment. Sensorial data can be managed and stored using multiple ways, however temporal database allows easy error detection supported by transactions. In this paper, medical temporal management layer is proposed with emphasis on patient monitoring over the time. Effectivity of the solution is provided by multiple layer architecture with data synchronization management and automatic evaluation based on data evolution and significance.