earticle

논문검색

Clinical Data Warehouse Issues and Challenges

초록

영어

The Clinical Data Warehouse is a result of utilizing data warehouse technology in medical field. The clinical data usually collect from various sources (Clinical information system, and Patient data management system), and stored into data warehouse to be analyzed to make better use of their clinical data in order to Support decision making. The diversity of the nature of clinical data from other business data produces several challenges. These challenges include the clinical data format, business analysis, data integration, data quality, and ETL process. The paper is discussing the issues and challenges to address developing of a successful Data Ware Housing for medical organization, which provide a rich knowledge environment to support effective decision making and support research work. The paper concluded significant handling of these issues which affect the development phase of the Clinical Data Warehouse systems.

목차

Abstract
 1. Introduction
 2. Related work:
 3. Clinical data warehouse (CDWH) issues and challenges:
  3.1. The Clinical Data Format:
  3.2. Business Analysis:
  3.3. Data Integration:
  3.4. Data Quality:
  3.5. ETL Process:
 4. Discussions
 5. Conclusion
 References

저자정보

  • Razi O. Mohammed Department of Computer Science, Shendi University, Sudan
  • Samani A. Talab Department of Computer Science, Elnileen University, Sudan

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.