Towards knowledge discovery from heterogeneous time-series medical databases

摘要

According to the JAHIS reports in 2016 [1], more than 72% of Japanese large hospitals (>= 400 beds) use EHRs (electronic health records). Now it becomes possible to exchange medical data electronically between hospitals based on the standards such as SS-MIX (standardized structured medical information exchange) and HL-7 (health level seven). For example in Shimane prefecture, an NPO is providing a communication service named MameNet, in which healthcare providers can securely exchange electronic patient data (with patient consent) via a datacenter. These standards also facilitate gathering of healthcare data from many hospitals for big data analysis.