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Data Warehousing for Clinical Research

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Encyclopedia of Database Systems
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Synonyms

Clinical research chart

Definition

The clinical data warehouse allows rapid querying and reporting across patients. It is used to support the discovery of new relationships between the cause and effects of diseases, and to find specific patients that qualify for research studies.

Historical Background

In healthcare, the term “data warehouse” is generally reserved for those databases optimized for analysis and integrated queries across patient populations. This is as opposed to the transactional database, which is optimized for rapid updating and highly specific kinds of retrieval (like those based upon a specific patient identifier).

There appear to be three fundamentally different approaches to organizing the healthcare data warehouse. The first is to extract tables from the transaction systems of the healthcare organization and load them into the database platform of the data warehouse with minimal transformation of the data model. The codes present in the columns are...

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Recommended Reading

  1. Inmon WH. Building the data warehouse. 2nd ed. New York: Wiley; 1996.

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  2. Kimball R. The data warehousing toolkit. New York: Wiley; 1997.

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  3. Murphy SN, Gainer VS, Chueh H. A visual interface designed for novice users to find research patient cohorts in a large biomedical database. In: Proceedings of the AMIA Annual Fall Symposium; 2003.p. 489–93.

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  4. Murphy SN, Morgan MM, Barnett GO, Chueh HC. Optimizing healthcare research data warehouse design through past COSTAR query analysis. In: Proceedings of the AMIA Fall Symposium; 1999. p. 892–6.

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  5. Nadkarni PM, Brandt C. Data extraction and ad hoc query of an entity-attribute-value database. J Am Med Inform Assoc. 1998;5:511–7.

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Correspondence to Shawn Murphy .

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© 2016 Springer Science+Business Media LLC

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Murphy, S. (2016). Data Warehousing for Clinical Research. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_120-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_120-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

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