Evidence map›Paper›PMID 18999260›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Identifying logical clinical context clusters in nursing orders for the purpose of information retrieval.

Sarah Collins, Suzanne Bakken, James J Cimino, Leanne M Currie

Registry-linked trialAbstract 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. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this 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.

NCT03911687 nacompletednot on this mapstarted 2020, after this paper: background citation

Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System

TypeinterventionalSponsorColumbia UniversityRan2020 to 2022Enrolled60,893ConditionsHospital Acquired ConditionArmsCONCERN CDS system notification
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

4 authors.

Sarah CollinsColumbia University School of Nursing, New York, NY, USA.
Suzanne Bakken
James J Cimino
Leanne M Currie

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

Nurses information needs relate to nursing orders and nursing orders have many contexts including body systems, safety practices and other clinical categories. When searching for information related to orders one search term might retrieve documents related to multiple orders. We clustered nursing orders into sets that are related by the same logical clinical context. We then generated clusters and their search terms from a data set of 636 orders obtained from a CIS/CPOE system at an academic medical center. We refined those cluster search terms by searching an electronic nursing procedure manual to retrieve resources that could answer one of six generic nursing questions. Sixty-three cluster search terms were identified. The search terms for 100 (16%) of the orders were validated in a second hospitals electronic nursing procedure manual; precision was 32.5%.. Our process of identifying cluster search terms may be a useful method to obtain clinically relevant information resources.

Indexed as

Nursing RecordsArtificial IntelligenceCluster AnalysisDocumentationInformation Storage and RetrievalMedical Records Systems, ComputerizedNew YorkNursing InformaticsNursing ProcessPattern Recognition, Automated

Identifiers

PMID18999260
PMCPMC2656054

What OpenQuestion holds

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Registered trials

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.