NIH VideoCast - LOINC - The Master Catalogue of Clinical Observations - Why it is Important to Clinical Care and Research

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Air date:	Tuesday, January 30, 2007, 2:00:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 103 * This only includes stats from October 2011 and forward.
Category:	Special
Runtime:	01:02:26
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	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.

NLM Title:	LOINC, the master catalogue of clinical observations : why it is important to clinical care and research / Clement J. McDonald.
Author:	McDonald, Clement J. National Institutes of Health (U.S.)
Publisher:
Abstract:	(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.
Subjects:	Databases as Topic Terminology as Topic Vocabulary, Controlled
Publication Types:	Lecture Webcast
NLM Classification:	W 26.55.I4
NLM ID:	101298633
CIT Live ID:	5672
Permanent link:	https://videocast.nih.gov/watch=5672

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