Evidence map›Paper›PMID 20648256›Full record

ArticleJournal of the Medical Library Association : JMLA2010

Development of a clinical information tool for the electronic medical record: a case study.

Barbara A Epstein, Nancy H Tannery, Charles B Wessel, Frances Yarger, John LaDue, Anthony B Fiorillo

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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

6 authors.

Barbara A EpsteinHealth Sciences Library System, University of Pittsburgh, Pittsburgh, PA, USA. bepstein@pitt.edu
Nancy H Tannery
Charles B Wessel
Frances Yarger
John LaDue
Anthony B Fiorillo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

questionWhat is the process of developing a clinical information tool to be embedded in the electronic health record of a very large and diverse academic medical center?

settingThe development took place at the University of Pittsburgh Health Sciences Library System.

methodThe clinical information tool developed is a search box with subject tabs to provide quick access to designated full-text information resources. Each subject tab offers a federated search of a different pool of resources. Search results are organized "on the fly" into meaningful categories using clustering technology and are directly accessible from the results page.

resultsAfter more than a year of discussion and planning, a clinical information tool was embedded in the academic medical center's electronic health record.

conclusionThe library successfully developed a clinical information tool, called Clinical-e, for use at the point of care. Future development will refine the tool and evaluate its impact and effectiveness.

Indexed as

Academic Medical CentersCluster AnalysisElectronic Health RecordsEvidence-Based MedicineFocus GroupsHospital Information SystemsHumansInternetLibraries, MedicalPennsylvaniaPoint-of-Care SystemsSchools, Medical

Identifiers

PMID20648256
PMCPMC2900999

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.