Evidence map›Paper›PMID 23304298›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

Federating clinical data from six pediatric hospitals: process and initial results for microbiology from the PHIS+ consortium.

Ramkiran Gouripeddi, Phillip B Warner, Peter Mo, James E Levin, Rajendu Srivastava, Samir S Shah, David de Regt, Eric Kirkendall, Jonathan Bickel, E Kent Korgenski and 5 more

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Accuracy of Adverse Event Ascertainment in Clinical Trials for Pediatric Acute Myeloid Leukemia.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2016
    Article
  7. Article
  8. 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

15 authors.

Ramkiran GouripeddiUniversity of Utah, Salt Lake City, UT, USA.
Phillip B Warner
Peter Mo
James E Levin
Rajendu Srivastava
Samir S Shah
David de Regt
Eric Kirkendall
Jonathan Bickel
E Kent Korgenski
Michelle Precourt
Richard L Stepanek
Joyce A Mitchell
Scott P Narus
Ron Keren

Funding

UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
PHIS+: Augmenting the Pediatric Health Information System with Clinical DataR01HS019862 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI KEREN, RON · 2010 to 2012
$8.7M
AHRQ HHS R01 HS019862NCRR NIH HHS 3UL1RR025764-02S2NCRR NIH HHS UL1 RR025764NCRR NIH HHS UL1RR025764
6 · The paper itself

Abstract

Microbiology study results are necessary for conducting many comparative effectiveness research studies. Unlike core laboratory test results, microbiology results have a complex structure. Federating and integrating microbiology data from six disparate electronic medical record systems is challenging and requires a team of varied skills. The PHIS+ consortium which is partnership between members of the Pediatric Research in Inpatient Settings (PRIS) network, the Children's Hospital Association and the University of Utah, have used "FURTHeR' for federating laboratory data. We present our process and initial results for federating microbiology data from six pediatric hospitals.

Indexed as

MicrobiologySystematized Nomenclature of MedicineClinical Laboratory Information SystemsComparative Effectiveness ResearchDelivery of Health Care, IntegratedHospitals, PediatricHumansMedical Records Systems, ComputerizedSoftware

Identifiers

PMID23304298
PMCPMC3540481

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.