Abstract
In the medicine practice, due to the privacy and safety of electronic medical record (EMR), the sharing, research and application of EMR have been hindered to a certain extent. Thus, it becomes increasingly important to study semantic electronic medical data integration, so as to meet the needs of doctors and researchers and help them quickly access high-quality information. This paper focuses on the realization of semantic EMRs. It shows how to uses APDG (Advanced Patient Data Generator) to create a set of virtual patient data for depression. Furthermore, it explains how to develop clinical and semantic description rules to construct semantic EMRs for depression and discusses how those generated virtual patient data can be used in the system of Smart Ward for the test and demonstration, without violating the legal issues (e.g., privacy and security) of patient data.
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Du, Y., Lin, S., Huang, Z. (2017). Generation of Semantic Patient Data for Depression. In: Siuly, S., et al. Health Information Science. HIS 2017. Lecture Notes in Computer Science(), vol 10594. Springer, Cham. https://doi.org/10.1007/978-3-319-69182-4_11
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DOI: https://doi.org/10.1007/978-3-319-69182-4_11
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