Evidence map›Paper›PMID 28269930›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

SMASH: A Data-driven Informatics Method to Assist Experts in Characterizing Semantic Heterogeneity among Data Elements.

William Brown, Chunhua Weng, David K Vawdrey, Alex Carballo-Diéguez, Suzanne Bakken

Abstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

William BrownDepartment of Biomedical Informatics, Columbia University, New York, NY; HIV Center for Clinical and Behavioral Studies, NY State Psychiatric Institute & Columbia University, New York, NY.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY.
David K VawdreyDepartment of Biomedical Informatics, Columbia University, New York, NY; New York-Presbyterian Hospital Value Institute, New York, NY.
Alex Carballo-DiéguezHIV Center for Clinical and Behavioral Studies, NY State Psychiatric Institute & Columbia University, New York, NY.
Suzanne BakkenDepartment of Biomedical Informatics, Columbia University, New York, NY; School of Nursing, Columbia University, New York, NY.

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 2001 to 2026
$57.4M
The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure MessagingR01LM012355 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARTER, ANDREW JOHN, SCHILLINGER, DEAN · 2015 to 2018
$2.8M
I3DEAL for HIV ResearchR03MH103957 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2014 to 2015
$160k
NIMH NIH HHS P30 MH043520NIMH NIH HHS P30 MH062246NIMH NIH HHS R03 MH103957NLM NIH HHS R01 LM012355NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

Semantic heterogeneity (SH) is detrimental to data interoperability and integration in healthcare. Assessing SH is difficult, yet fundamental to addressing the problem. Using expert-based and data-driven methods we assessed SH among HIV-associated data elements (DEs). Using Clinicaltrials.gov, we identified and obtained eight data dictionaries, and created a DE inventory. We vectorized DEs by study, and developed a new method, String Metric-assisted Assessment of Semantic Heterogeneity (SMASH), to find DEs: similar in A

Indexed as

InformaticsSemanticsInformation SystemsSystems Integration

Identifiers

PMID28269930
PMCPMC5333258

What OpenQuestion holds

Textmetadata
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.