System proposal and CRS model design applying personal Information protection for BIG DATA analysis

• Published in: 2014 International Conference on Big Data and Smart Computing (BIGCOMP) pp. 231 - 234
• Main Authors: Jong-ho Lim, Il Kon Kim, Sungchul Bae, Sung-Hyun Lee
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2014
• Subjects: Big Data; Care Record Summary; CDA; Clinical diagnosis; Data models; Educational institutions; EMR; HL7; Hospitals; Information management; Medical diagnostic imaging
• ISSN: 2375-933X; 2375-9356
• DOI: 10.1109/BIGCOMP.2014.6741442

Due to the recent development of IT technology, the capacity of data has surpassed the Zetta-byte, and improving the efficiency of business by increasing the predictive ability through an efficient analysis on these data has e merged a s a n issue of the current society. Even each general hospital is getting a large amount of information stored and managed. However, there are very few studies on the methods to utilize the clinical information efficiently. For the efficient analysis and utilization of BIG DATA stored in heterogeneous electronic medical record (EMR) data, a data-cleaning process to facilitate the utilization of data is needed. To this end, there is a need for the process of cleaning clinical information composed of text to make sure that the data can be processed mechanically. In this regard, in this paper, medical information, medication information, medical test results and allergy information were implemented up to Entry-level using CDA, the international medical standards, and Care Record Summary integrating these information was created to ensure interoperatability and enable more efficient medical treatment. In addition, CRS model which is suitable for the situation of Korea was designed, and a system that enables utilization of clinical data was proposed.