Evidence map›Paper›PMID 22195135›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Cross-mapping clinical notes between hospitals: an application of the LOINC Document Ontology.

Li Li, C Paul Morrey, David Baorto

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  3. Discovering associations between problem list and practice setting.BMC medical informatics and decision making · 2019
    Article
  4. Assessing the adequacy of the HL7/LOINC Document Ontology Role axis.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  5. Extending the HL7/LOINC Document Ontology Settings of Care.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    Article
  6. Application of HL7/LOINC Document Ontology to a University-Affiliated Integrated Health System Research Clinical Data Repository.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    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

3 authors.

Li LiNew York Presbyterian Hospital, New York, NY, USA.
C Paul Morrey
David Baorto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standardization of document titles is essential for management as the volume of electronic clinical notes increases. The two campuses of the New York Presbyterian Hospital have over 2,700 distinct document titles. The LOINC Document Ontology (DO) provides a standard for the naming of clinical documents in a multi-axis structure. We have represented the latest LOINC DO structure in the MED, and developed an automated process mapping the clinical documents from both the West (Columbia) and East (Cornell) campuses to the LOINC DO. We find that the LOINC DO can represent the majority of our documents, and about half of the documents map between campuses using the LOINC DO as a reference. We evaluated the possibility of using current LOINC codes in document exchange between different institutions. While there is clear success in the ability of the LOINC DO to represent documents and facilitate exchange we find there are granularity issues.

Indexed as

Logical Observation Identifiers Names and CodesMedical Records Systems, ComputerizedSystems IntegrationHospital Information SystemsHospitals, UniversityHumansNew York City

Identifiers

PMID22195135
PMCPMC3243240

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.