Evidence map›Paper›PMID 16779016›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2005

Concept-value pair extraction from semi-structured clinical narrative: a case study using echocardiogram reports.

Jeanhee Chung, Shawn Murphy

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  5. From Sour Grapes to Low-Hanging Fruit: A Case Study Demonstrating a Practical Strategy for Natural Language Processing Portability.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
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  6. Observational
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  12. Integration of clinical and genetic data in the i2b2 architecture.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2006
    Article
  13. Article
  14. 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

2 authors.

Jeanhee ChungLaboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Shawn Murphy

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
NLM NIH HHS 2T15LM07092-11NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

The task of gathering detailed patient information from narrative text presents a significant barrier to clinical research. A prototype information extraction system was developed to identify concepts and their associated values from narrative echocardiogram reports. The system uses a Unified Medical Language System compatible architecture and takes advantage of canonical language use patterns to identify sentence templates with which concepts and their related values can be identified. The data extracted from this system will be used to enrich an existing database used by clinical researchers in a large university healthcare system to identify potential research candidates fulfilling clinical inclusion criteria. The system was developed and evaluated using ten clinical concepts. Concept-value pairs extracted by the system were compared with findings extracted manually by the author. The system was able to recall 78% [95%CI, 76-80%] of the relevant findings, with a precision of 99% [95%CI, 98-99%].

Indexed as

EchocardiographyInformation Storage and RetrievalNatural Language ProcessingUnified Medical Language SystemHeart DiseasesHumansTerminology as Topic

Identifiers

PMID16779016
PMCPMC1560613

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.