Evidence map›Paper›PMID 27570663›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2016

NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes.

Reed McEwan, Genevieve B Melton, Benjamin C Knoll, Yan Wang, Gretchen Hultman, Justin L Dale, Tim Meyer, Serguei V Pakhomov

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  11. Automatic Methods to Extract New York Heart Association Classification from Clinical Notes.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2017
    Article
  12. Elective Colectomy for Diverticulitis in Transplant Patients: Is It Worth the Risk?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2017
    Article
  13. Article
  14. Characterizing Surgical Site Infection Signals in Clinical Notes.Studies in health technology and informatics · 2017
    Article
  15. Article
  16. 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

8 authors.

Reed McEwanAcademic Health Center-Information Systems.
Genevieve B MeltonInstitute for Health Informatics; Medical School.
Benjamin C KnollCollege of Pharmacy, University of Minnesota, Minneapolis, MN.
Yan WangInstitute for Health Informatics.
Gretchen HultmanInstitute for Health Informatics.
Justin L DaleAcademic Health Center-Information Systems.
Tim MeyerAcademic Health Center-Information Systems.
Serguei V PakhomovInstitute for Health Informatics; College of Pharmacy, University of Minnesota, Minneapolis, MN.

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

Many design considerations must be addressed in order to provide researchers with full text and semantic search of unstructured healthcare data such as clinical notes and reports. Institutions looking at providing this functionality must also address the big data aspects of their unstructured corpora. Because these systems are complex and demand a non-trivial investment, there is an incentive to make the system capable of servicing future needs as well, further complicating the design. We present architectural best practices as lessons learned in the design and implementation NLP-PIER (Patient Information Extraction for Research), a scalable, extensible, and secure system for processing, indexing, and searching clinical notes at the University of Minnesota.

Identifiers

PMID27570663
PMCPMC5001745

What OpenQuestion holds

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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.