The use of SNOMED CT simplifies querying of a clinical data warehouse.

Michael Lieberman, Thomas N. Ricciardi, F. E. Masarie, Kent A. Spackman

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

The usefulness of digital clinical information is limited by difficulty in accessing that information. Information in electronic medical records (EMR) must be entered and stored at the appropriate level of granularity for individual patient care. However, benefits such as outcomes research and decision support require aggregation to clinical data -- "heart disease" as opposed to "S/P MI 1997" for example. The hierarchical relationships in an external reference terminology, such as SNOMED, can facilitate aggregation. This study examines whether by leveraging the knowledge built into SNOMED's hierarchical structure, one can simplify the query process without degrading the query results.

Original languageEnglish (US)
Pages (from-to)910
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003

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Systematized Nomenclature of Medicine
Electronic Health Records
Terminology
Heart Diseases
Patient Care
Outcome Assessment (Health Care)

Cite this

The use of SNOMED CT simplifies querying of a clinical data warehouse. / Lieberman, Michael; Ricciardi, Thomas N.; Masarie, F. E.; Spackman, Kent A.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2003, p. 910.

Research output: Contribution to journalArticle

Lieberman, Michael ; Ricciardi, Thomas N. ; Masarie, F. E. ; Spackman, Kent A. / The use of SNOMED CT simplifies querying of a clinical data warehouse. In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2003 ; pp. 910.
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