Evidence map›Paper›PMID 18693943›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2007

Use of RxNorm to exchange codified drug allergy information between Department of Veterans Affairs (VA) and Department of Defense (DoD).

Pradnya P Warnekar, Omar Bouhaddou, Fola Parrish, Nhan Do, John Kilbourne, Steven H Brown, Michael J Lincoln

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Automated identification of drug and food allergies entered using non-standard terminology.Journal of the American Medical Informatics Association : JAMIA
    Article
  6. Development and evaluation of an ensemble resource linking medications to their indications.Journal of the American Medical Informatics Association : JAMIA
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Pradnya P WarnekarDepartment of Veterans Affairs Office of Information, Salt Lake City, UT, USA.
Omar Bouhaddou
Fola Parrish
Nhan Do
John Kilbourne
Steven H Brown
Michael J Lincoln

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under a congressional mandate, VA and DoD have built a framework to exchange standardized, codified patient drug allergy information through a mediation terminology. Initially, the Unified Medical Language System (UMLS) was deemed to be the most appropriate translator. After both agency files were mapped to UMLS, DoD could understand 45 percent of VA's mapped terms and VA could understand 26 percent of DoD's mapped terms. A significant portion of the non-mediated information was brand names in DoD with generic counterparts in VA. Recently, a Consolidated Health Informatics (CHI) group designated RxNorm as the standard for trade name allergies. An analysis was conducted to estimate mediation improvement using RxNorm. Both agency files were re-mapped to RxNorm. By utilizing the RxNorm defined relationships between brand names and generics and between variants of therapeutic moieties , DoD will understand 74 percent of VA terms and VA will understand 58 percent of DoD terms.

Indexed as

Drug HypersensitivityVocabulary, ControlledComputer Communication NetworksHumansInformation SystemsMedical Record LinkageMedical Records Systems, ComputerizedPharmaceutical PreparationsSemanticsSystems IntegrationTerminology as TopicUnified Medical Language SystemUnited StatesUnited States Department of Veterans AffairsUnited States Government AgenciesPharmaceutical Preparations

Identifiers

PMID18693943
PMCPMC2655912

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.