Evidence map›Paper›PMID 22195098›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Testing Three Problem List Terminologies in a simulated data entry environment.

Kin Wah Fung, Junchuan Xu, S Trent Rosenbloom, David Mohr, Naveen Maram, Thomas Suther

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 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. Article
  2. Generalized Extraction and Classification of Span-Level Clinical Phrases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  3. Article
  4. Is the problem list in the eye of the beholder? An exploration of consistency across physicians.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  5. Article
  6. Article
  7. Identifying inconsistencies in SNOMED CT problem lists using structural indicators.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    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

6 authors.

Kin Wah FungNational Library of Medicine, Bethesda, MD, USA. kwfung@nlm.nih.gov
Junchuan Xu
S Trent Rosenbloom
David Mohr
Naveen Maram
Thomas Suther

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

Three Problem List Terminologies (PLT) were tested using a web-based application simulating a clinical data entry environment to evaluate coverage and coding efficiency. The three PLTs were: the CORE Problem List Subset of SNOMED CT, a clinical subset extracted from the full SNOMED CT and the PLT currently used at the Mayo Clinic. Candidate problem statements were randomly extracted from free text problem list entries contained in two electronic medical record systems. Physician reviewers searched for concepts in one of the three PLTs that most closely matched a problem statement. Altogether 45 reviewers reviewed 15 problems each. The coverage of the much smaller CORE Subset was comparable to Clinical SNOMED for combined exact or partial matches. The CORE Subset required the shortest time to find a concept. This may be related to the smaller size of the pick lists for the CORE Subset.

Indexed as

Clinical CodingElectronic Health RecordsMedical Records, Problem-OrientedSystematized Nomenclature of MedicineVocabulary, Controlled

Identifiers

PMID22195098
PMCPMC3243193

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.