Evidence map›Paper›PMID 19560962›Full record

ArticleInternational journal of medical informatics2009

Enhanced identification of eligibility for depression research using an electronic medical record search engine.

Lisa Seyfried, David A Hanauer, Donald Nease, Rashad Albeiruti, Janet Kavanagh, Helen C Kales

Abstract read
In one paragraph

Article in International journal of medical informatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  8. SemanticFind: Locating What You Want in a Patient Record, Not Just What You Ask For.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
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  13. Engraftment syndrome after allogeneic hematopoietic cell transplantation predicts poor outcomes.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2014
    Article
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  17. Atrial fibrillation anticoagulation care in a large urban family medicine practice.Canadian family physician Medecin de famille canadien · 2014
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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

6 authors.

Lisa SeyfriedDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
David A Hanauer
Donald Nease
Rashad Albeiruti
Janet Kavanagh
Helen C Kales

Funding

Racial Differences in Geriatric Antidepressant AdherenceR21MH073002 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KALES, HELEN C · 2006 to 2007
$370k
NIMH NIH HHS R21 MH073002NIMH NIH HHS R21MH073002
6 · The paper itself

Abstract

purposeElectronic medical records (EMRs) have become part of daily practice for many physicians. Attempts have been made to apply electronic search engine technology to speed EMR review. This was a prospective, observational study to compare the speed and clinical accuracy of a medical record search engine vs. manual review of the EMR.

methodsThree raters reviewed 49 cases in the EMR to screen for eligibility in a depression study using the electronic medical record search engine (EMERSE). One week later raters received a scrambled set of the same patients including 9 distractor cases, and used manual EMR review to determine eligibility. For both methods, accuracy was assessed for the original 49 cases by comparison with a gold standard rater.

resultsUse of EMERSE resulted in considerable time savings; chart reviews using EMERSE were significantly faster than traditional manual review (p=0.03). The percent agreement of raters with the gold standard (e.g. concurrent validity) using either EMERSE or manual review was not significantly different.

conclusionsUsing a search engine optimized for finding clinical information in the free-text sections of the EMR can provide significant time savings while preserving clinical accuracy. The major power of this search engine is not from a more advanced and sophisticated search algorithm, but rather from a user interface designed explicitly to help users search the entire medical record in a way that protects health information.

Indexed as

Decision MakingElectronic Health RecordsMedical Records Systems, ComputerizedBiomedical ResearchDepressionHumansMiddle AgedProspective StudiesSearch Engine

Identifiers

PMID19560962
PMCPMC2784251

What OpenQuestion holds

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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.