Evidence map›Paper›PMID 26958167›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium

Employing complex polyhierarchical ontologies and promoting interoperability of i2b2 data systems.

James Richard Campbell, Walter Scott Campbell, Hubert Hickman, Jay Pedersen, James McClay

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Characterizing Basic and Complex Usage of i2b2 at an Academic Medical Center.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  2. Automated Population of an i2b2 Clinical Data Warehouse using FHIR.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  3. Using Closure Tables to Enable Cross-Querying of Ontologies in Database-Driven Applications.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2017
    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.

James Richard CampbellUniversity of Nebraska Medical Center, Omaha, NE.
Walter Scott CampbellUniversity of Nebraska Medical Center, Omaha, NE.
Hubert HickmanNebraska Medicine, Omaha, NE.
Jay PedersenUniversity of Nebraska at Omaha, Omaha, NE.
James McClayUniversity of Nebraska Medical Center, Omaha, NE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

I2b2 is in widespread use for managing research data warehouses. It employs reference ontologies as a record index and supports searching for aggregate cases using a pattern match operator on ASCII strings representing the node traversal from root to concept(PATHs). This creates complexities in dissemination and deployment for large polyhierarchical ontologies such as SNOMED CT. We hypothesized that an alternative approach employing transitive closure tables (TC) could lead to more accurate, efficient and interoperable search tools for i2b2. We evaluated search speed, accuracy and interoperability of queries employing each approach. We found both TC-based and PATH-based queries to produce accurate results. However, we observed that TC-based queries involving concepts included in large numbers of paths ran substantially faster than PATH-based queries for the same concept. Oracle query plan resource estimates differed by one to three orders of magnitude for these queries. We conclude that a simplification of dissemination tools for SNOMED CT and revision in the metadata build for i2b2 can effectively employ SNOMED CT with increased efficiency and comparable accuracy. Use of transitive closure tables in metadata can promote network query interoperability.

Indexed as

Decision Making, Computer-AssistedSystematized Nomenclature of MedicineAlgorithmsData MiningElectronic Health RecordsInformation SystemsMedical InformaticsMetadataSearch Engine

Identifiers

PMID26958167
PMCPMC4765692

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.