Evidence map›Paper›PMID 25352569›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Assessing the adequacy of the HL7/LOINC Document Ontology Role axis.

Sripriya Rajamani, Elizabeth S Chen, Mari E Akre, Yan Wang, Genevieve B Melton

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The standard problem.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  2. Article
  3. Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  4. NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    Article
  5. Article
  6. AMIA--Setting the Standard.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  7. 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

5 authors.

Sripriya RajamaniPublic Health Informatics Program, University of Minnesota, Minneapolis, Minnesota, USA Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
Elizabeth S ChenBiomedical Informatics Unit, Center for Clinical and Translational Science, University of Vermont, Burlington, Vermont, USA Division of General Internal Medicine, Department of Medicine, University of Vermont, Burlington, Vermont, USA Department of Computer Science, University of Vermont, Burlington, Vermont, USA.
Mari E AkreUniversity of Minnesota Physicians, Minneapolis, Minnesota, USA.
Yan WangInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
Genevieve B MeltonInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA University of Minnesota Physicians, Minneapolis, Minnesota, USA Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

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
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 1R01HS022085-01AHRQ HHS R01 HS022085NCATS NIH HHS 8UL1TR000114-02NCATS NIH HHS UL1 TR000114NLM NIH HHS 1R01LM011364-01NLM NIH HHS R01 LM011364
6 · The paper itself

Abstract

The healthcare landscape is changing, driven by innovative care models and the emergence of new roles that are inter-professional in nature. Currently, the HL7/LOINC Document Ontology (DO) aids the use and exchange of clinical documents using a multi-axis structure of document attributes for Kind of Document, Setting, Role, Subject Matter Domain, and Type of Service. In this study, the adequacy of the Role axis for representing the type of author documenting care was assessed. Experts used a master list of 220 values created from seven resources and established mapping guidelines. Baseline certification, licensure, and didactic training were identified as key parameters that define roles and hence often need to be pre-coordinated. DO was inadequate in representing 82% of roles, and this gap was primarily due to lack of granularity in DO. Next steps include refinement of the proposed schema for the Role axis and dissemination within the larger standards community.

Indexed as

Health Level SevenLogical Observation Identifiers Names and CodesBiological OntologiesHealth OccupationsHealth Level 7LOINCProfessional RoleStandards

Identifiers

PMID25352569
PMCPMC5901117

What OpenQuestion holds

Textmetadata
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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.