Evidence map›Paper›PMID 18998796›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Generating nurse profiles from computerized labor and delivery documentation.

Eric S Hall, Sidney N Thornton

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

2 authors.

Eric S HallDepartment of Biomedical Informatics, University of Utah and Intermountain Healthcare, Salt Lake City, UT, USA.
Sidney N Thornton

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
NLM NIH HHS 1T15LM07124-08NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

This paper presents methods for generating nurse profiles using computerized documentation. NuProGen (Nurse Profile Generator), a custom-built knowledge discovery tool, enabled profile generation by calculating the numbers of various complicated patient cases (including high body mass index, bleeding, and multiple gestation) managed by each of 91 Labor and Delivery nurses at a single Intermountain Healthcare facility during the 3-month study period of January through March 2007. The tool identified patterns of documentation recorded by each nurse, as well as nursing care patterns associated with each of the three patient conditions examined in the study. Individual nurse profiles supported identification of expert and novice nurses corresponding to the management of specific conditions. A discussion of the benefits provided by available nurse profile data is also presented.

Indexed as

Nurse's RoleClinical CompetenceClinical Nursing ResearchDelivery, ObstetricFemaleHumansLabor, ObstetricNursing CareNursing ProcessObstetric NursingPregnancyUtah

Identifiers

PMID18998796
PMCPMC2656022

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.