Literature DB >> 8565239

Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results.

A W Forrey1, C J McDonald, G DeMoor, S M Huff, D Leavelle, D Leland, T Fiers, L Charles, B Griffin, F Stalling, A Tullis, K Hutchins, J Baenziger.   

Abstract

Many laboratories use electronic message standards to transmit results to their clients. If all laboratories used the same "universal" set of test identifiers, electronic transmission of results would be greatly simplified. The Logical Observation Identifier Names and Codes (LOINC) database aims to be such a code system, covering at least 98% of the average laboratory's tests. The LOINC database should be of interest to hospitals, clinical laboratories, doctors' offices, state health departments, governmental healthcare providers, third-party payors, organizations involved in clinical trials, and quality assurance and utilization reviewers. The fifth release of the LOINC database, containing codes, names, and synonyms for approximately 6300 test observations, is now available on the Internet for public use. Here we describe the LOINC database, the methods used to produce it, and how it may be obtained.

Mesh:

Year:  1996        PMID: 8565239

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  88 in total

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Journal:  Proc AMIA Symp       Date:  1999

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5.  Collaborative efforts for representing nursing concepts in computer-based systems: international perspectives.

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Journal:  J Am Med Inform Assoc       Date:  2001 May-Jun       Impact factor: 4.497

6.  Units of measure in clinical information systems.

Authors:  G Schadow; C J McDonald; J G Suico; U Föhring; T Tolxdorff
Journal:  J Am Med Inform Assoc       Date:  1999 Mar-Apr       Impact factor: 4.497

7.  Evaluation of the clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures.

Authors:  S Bakken; J J Cimino; R Haskell; R Kukafka; C Matsumoto; G K Chan; S M Huff
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

8.  Automated mapping of observation codes using extensional definitions.

Authors:  K A Zollo; S M Huff
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

9.  Three decades of research on computer applications in health care: medical informatics support at the Agency for Healthcare Research and Quality.

Authors:  J Michael Fitzmaurice; Karen Adams; John M Eisenberg
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

10.  Monitoring quality requires knowing similarity: the NICLTS experience.

Authors:  S J Steindel; S E Granade
Journal:  Proc AMIA Symp       Date:  2001
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