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

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

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 as an 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 resutls and allergy information were implemented up to Entry level using CDA, the interantional 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..

INTRODUCTION

With 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 emerged as an issue of the current society. Even in each general hospital, large amount of information is being stored and managed.

However, there are very few studies on the efficient use of the medical information. 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.

For the use of the cleaned clinical data, an environment that can easily take advantage of the clinical information is needed. In addition, since the clinical information includes personal information, the anonymization of personal information that removes patients’ personal information from the information is required before the analysis using clinical information.

Literature Survey

1.    Goal of Project:

The CRS designed in this projects has its significance in that it proposed a method on how to structure the data using CRS as a method of converting unstructured medical information BIG DATA stacked on the each hospital into structured data that can be analyzed efficiently, thereby preparing a foundation for providing higher level of health care services by facilitating an analysis of the medical information BIG DATA and predicting the future

2. Analysis on Existing Networks:

All medical information of patients is not managed by the physician in charge unlike the practices in the United States, which poses the problem in determining the subject of updating CRS.

 

3.Idea on proposed System:

Medical information, medication information, medical test resutls and allergy information were implemented up to Entry-level using CDA, the interantional 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 propose