Skip to main navigation Skip to search Skip to main content

Interface Terminologies: Facilitating Direct Entry of Clinical Data into Electronic Health Record Systems

  • S. Trent Rosenbloom
  • , Randolph A. Miller
  • , Kevin B. Johnson
  • , Peter L. Elkin
  • , Steven H. Brown
  • Vanderbilt University

Research output: Contribution to journal › Article › peer-review

192 Scopus citations

Abstract

Previous investigators have defined clinical interface terminology as a systematic collection of health care-related phrases (terms) that supports clinicians' entry of patient-related information into computer programs, such as clinical "note capture" and decision support tools. Interface terminologies also can facilitate display of computer-stored patient information to clinician-users. Interface terminologies "interface" between clinicians' own unfettered, colloquial conceptualizations of patient descriptors and the more structured, coded internal data elements used by specific health care application programs. The intended uses of a terminology determine its conceptual underpinnings, structure, and content. As a result, the desiderata for interface terminologies differ from desiderata for health care-related terminologies used for storage (e.g., SNOMED-CT®), information retrieval (e.g., MeSH), and classification (e.g., ICD9-CM®). Necessary but not sufficient attributes for an interface terminology include adequate synonym coverage, presence of relevant assertional knowledge, and a balance between pre- and post-coordination. To place interface terminologies in context, this article reviews historical goals and challenges of clinical terminology development in general and then focuses on the unique features of interface terminologies.

Original languageEnglish
Pages (from-to)277-288
Number of pages12
JournalJournal of the American Medical Informatics Association
Volume13
Issue number3
DOIs
StatePublished - May 2006

Fingerprint

Dive into the research topics of 'Interface Terminologies: Facilitating Direct Entry of Clinical Data into Electronic Health Record Systems'. Together they form a unique fingerprint.

Cite this