Evidence map›Paper›PMID 29295354›Full record

ArticleStudies in health technology and informatics2017

Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers.

Gretchen Hultman, Reed McEwan, Serguei Pakhomov, Elizabeth Lindemann, Steven Skube, Genevieve B Melton

Open access · hybridAbstract read

In one paragraph

Article in Studies in health technology and informatics, 2017. 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

0.8field-weighted citation impact, top 23% of its field

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, 1 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Gretchen HultmanInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.

Reed McEwanAcademic Health Center - Information Systems, University of Minnesota, Minneapolis, Minnesota, USA.

Serguei PakhomovCollege of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.

Elizabeth LindemannDepartment of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

Steven SkubeDepartment of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

Genevieve B MeltonInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.

University of Minnesota · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015

$35.0M

Natural language processing for clinical and translational researchR01GM102282 · NIGMS · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG, PAKHOMOV, SERGUEI VS · 2013 to 2016

$2.5M

Discovery and Visualization of New Information from Clinical Reports in the EHRR01HS022085 · AHRQ · UNIVERSITY OF MINNESOTA · PI MELTON-MEAUX, GENEVIEVE B · 2013 to 2016

$1.9M

Leveraging the EHR to Collect and Analyze Social, Behavioral & Familial FactorsR01LM011364 · NLM · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI CHEN, ELIZABETH S., MELTON-MEAUX, GENEVIEVE B · 2012 to 2015

$1.4M

AHRQ HHS R01 HS022085NCATS NIH HHS UL1 TR000114NIGMS NIH HHS R01 GM102282NLM NIH HHS R01 LM011364

6 · The paper itself

Abstract

NLP-PIER (Natural Language Processing - Patient Information Extraction for Research) is a self-service platform with a search engine for clinical researchers to perform natural language processing (NLP) queries using clinical notes. We conducted user-centered testing of NLP-PIER's usability to inform future design decisions. Quantitative and qualitative data were analyzed. Our findings will be used to improve the usability of NLP-PIER.

Indexed as

Natural Language ProcessingSearch EngineElectronic Health RecordsHumansInformation Storage and RetrievalEvaluation StudiesInformation Storage and RetrievalNatural Language Processing

Identifiers

PMID29295354

PMCPMC6188640

OpenAlexW2786475457

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC

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.