| Title: |
LOINC, the master catalogue of clinical observations [electronic resource] : why it is important to clinical care and research / Clement J. McDonald. |
| Author(s)/Name(s): |
McDonald, Clement J., |
| Publisher: |
[Bethesda, Md. : National Institutes of Health, 2007] |
| Related Names: |
National Institutes of Health (U.S.) |
| Language: |
eng |
| Electronic Links: |
http://videocast.nih.gov/launch.asp?13609 |
| MeSH Subjects: |
Databases as Topic |
|
Vocabulary, Controlled |
|
Terminology as Topic |
|
Lectures |
| Summary: |
(CIT): This lecture will describe the LOINC database, how it works, who is using it, and why it is necessary for integrating clinical and research data from many sources into a unified whole for clinical and research purposes. Most producers of patient level data - including diagnostic labs, many hospital nursing services, other reporting services, and clinical researchers - store their clinical observations electronically. However, data producers identify these observations with their own locally invented and idiosyncratic codes which many other systems do not understand. The resultant Babel is the main barrier to the deployment of effective and interoperable information and research systems - because they all need data from other systems to achieve their promise. Logical Observation Identifiers, Names, and Codes (LOINC) is a database of universal codes and names that if widely adopted would eliminate the Babel and the barrier. |
| Notes: |
Title from screen banner (viewed Mar. 28, 2007). |
|
Streaming video (1 hr., 2 min., 26 sec. : sd., col.). |
|
Mode of access: World Wide Web. |
|
Open-captioned. |
| NLM Unique ID: |
101298633 |
| Other ID Numbers: |
(DNLM)CIT:13609 |
