Evidence map›Paper›PMID 22195221›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment.

Rob Wynden, Nick Anderson, Marco Casale, Prakash Lakshminarayanan, Kent Anderson, Justin Prosser, Larry Errecart, Alice Livshits, Tim Thimman, Mark Weiner

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Rob WyndenUniversity of California San Francisco, CA, USA.
Nick Anderson
Marco Casale
Prakash Lakshminarayanan
Kent Anderson
Justin Prosser
Larry Errecart
Alice Livshits
Tim Thimman
Mark Weiner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the CTSA (Clinical Translational Sciences Awards) program, academic medical centers are tasked with the storage of clinical formulary data within an Integrated Data Repository (IDR) and the subsequent exposure of that data over grid computing environments for hypothesis generation and cohort selection. Formulary data collected over long periods of time across multiple institutions requires normalization of terms before those data sets can be aggregated and compared. This paper sets forth a solution to the challenge of generating derived aggregated normalized views from large, distributed data sets of clinical formulary data intended for re-use within clinical translational research.

Indexed as

Electronic Data ProcessingRxNormAcademic Medical CentersComputer Communication NetworksFormularies as TopicSoftwareSystems IntegrationUnited States

Identifiers

PMID22195221
PMCPMC3243211

What OpenQuestion holds

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Registered trials

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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.