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

Content Provider	IEEE Xplore Digital Library
Author	Jong-ho Lim Il Kon Kim Sungchul Bae Sung-Hyun Lee
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Kyungpook Nat. Univ., Daegu, South Korea (Jong-ho Lim; Il Kon Kim; Sungchul Bae; Sung-Hyun Lee)
Abstract	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.
Sponsorship	IEEE Comput. Soc.
Starting Page	231
Ending Page	234
File Size	317689
Page Count	4
File Format	PDF
ISBN	9781479939190
DOI	10.1109/BIGCOMP.2014.6741442
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-15
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CDA HL7 Hospitals Big Data Educational institutions Data models Information management EMR Clinical diagnosis Care Record Summary Medical diagnostic imaging Standards
Content Type	Text
Resource Type	Article

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