Evidence map›Paper›PMID 23304359›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

The relationship between structural characteristics of 2010 challenge documents and ratings of document quality.

Shuying Shen, Brett R South, Jorie Butler, Robyn Barrus, Charlene Weir

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. 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

5 authors.

Shuying ShenVA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
Brett R South
Jorie Butler
Robyn Barrus
Charlene Weir

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Challenges in Natural Language Processing in Clinical TextR13LM011411 · NLM · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI UZUNER, OZLEM · 2012 to 2016
$98k
NLM NIH HHS R13 LM011411NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

Quality of clinical narratives has direct impact on the perceived usefulness of these documents. With the advent of electronic documentation, the quality of clinical documents has been debated. Electronic documentation is supported by features to enhance efficiency, including copy/paste, templates, multi-level headings, and inserted objects. The impact of these features on perceived document quality has been difficult to assess in real settings as compared to simulations. This study used electronic notes from the 2010 i2b2/VA Challenge to explore the impact of text characteristics on general perception of document quality. We administered a validated instrument to assess document quality, focusing on two dimensions, informativeness and readability. Text characteristics were collected from both subjective ratings and quantitative summary. The results suggested common clinical elements such as templates, headings and inserted objects had strong positive association with document quality. Understanding of such relationship may prove useful in future EHR design and informatics research.

Indexed as

ComprehensionDocumentationElectronic Health RecordsHumansNarrationRegression Analysis

Identifiers

PMID23304359
PMCPMC3540529

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.