System Replacement to a New HIS and Data Warehouse

Masayuki Honda; Takehiro Matsumoto

doi:10.20965/jaciii.2012.p0038

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JACIII Vol.16 No.1 pp. 38-41

doi: 10.20965/jaciii.2012.p0038

(2012)

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System Replacement to a New HIS and Data Warehouse

Masayuki Honda and Takehiro Matsumoto

Department of Medical Informatics, Nagasaki University Hospital, 1-7-1 Sakamoto, Nagasaki 852-8501, Japan

Received:

July 1, 2011

Accepted:

October 12, 2011

Published:

January 20, 2012

Keywords:

HIS, EMR, data warehouse

Abstract

Large-scale hospital information systems (HIS) generally consist of (i) online transaction processing (OLTP) and (ii) online analytical processing (OLAP) systems. Electronic medical records (EMR) are a major OLTP element. The data warehouse (DWH) assumes many important OLAP roles and maintains an institution’s medical care at a high level by providing EMR with the best practice cases available. This article focuses mainly on why OLTP and OLAP are needed and what roles the DWH plays, which means that the DWH has its own utilities and supplementary merits. The background of this discussion is closely related to the HIS at Nagasaki University Hospital introduced before the DWH is discussed.

Cite this article as:

Masayuki Honda and Takehiro Matsumoto, “System Replacement to a New HIS and Data Warehouse,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.1, pp. 38-41, 2012.

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References

[1] M. Honda, “An investigation for implementation and usage of Data ware House in Hospital Information system,” Japan J. of Medical Informatics, Vol.29 (Supplement), pp. 294-297, 2009.
[2] M. Honda et al., “The meaning and the roles of the secondary use system DWH of patient data,” Japan J. of Medical Informatics, Vol.30 (Supplement), pp. 1320-1321, 2010.
[3] A. Jain and S. Hayden, “Using electronic health records to collect patient-specific performance measures and outcomes,” AMIA Annu Symp Proc., pp. 1242-1243, Nov. 6, 2008.
[4] Q. Zhang et al., “The application of an institutional clinical data warehouse to the assessment of adverse drug reactions (ADRs), Evaluation of aminoglycoside and cephalosporin associated nephrotoxicity,” Methods Inf Med., Vol.46, No.5, pp. 516-522, 2007.
[5] J. D. Chelio et al., “Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases,” AMIA Annu Symp Proc., Vol.11, p. 901, Oct. 2007.
[6] S. Hanß et al., “Integration of Decentralized Clinical Data in a Data Warehouse,” Methods Inf Med., Vol.48, No.5, Aug. 5, 2009.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 International License.

[1] [1] M. Honda, “An investigation for implementation and usage of Data ware House in Hospital Information system,” Japan J. of Medical Informatics, Vol.29 (Supplement), pp. 294-297, 2009.

[2] [2] M. Honda et al., “The meaning and the roles of the secondary use system DWH of patient data,” Japan J. of Medical Informatics, Vol.30 (Supplement), pp. 1320-1321, 2010.

[3] [3] A. Jain and S. Hayden, “Using electronic health records to collect patient-specific performance measures and outcomes,” AMIA Annu Symp Proc., pp. 1242-1243, Nov. 6, 2008.

[4] [4] Q. Zhang et al., “The application of an institutional clinical data warehouse to the assessment of adverse drug reactions (ADRs), Evaluation of aminoglycoside and cephalosporin associated nephrotoxicity,” Methods Inf Med., Vol.46, No.5, pp. 516-522, 2007.

[5] [5] J. D. Chelio et al., “Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases,” AMIA Annu Symp Proc., Vol.11, p. 901, Oct. 2007.

[6] [6] S. Hanß et al., “Integration of Decentralized Clinical Data in a Data Warehouse,” Methods Inf Med., Vol.48, No.5, Aug. 5, 2009.