Interoperability of Electronic Health Records for Dyslipidemia using Knowledge graphs

Clinical information of a patient is voluminous, varied and critically important for decision making process to the medical experts. The data is complicated and is not organized in a single common platform that leads to complexity. The information is stored in varied frameworks using different formats. The data is structured at varied levels which leads to the difficult management of the information and its interoperability in cases that integrate and reuse the data. This paper presents an alternative to cope with those difficulties using semantic technologies. The data is structured and transformed into information that clinches interoperability and reuse of the information by different platforms/clinicians