Evidence map›Paper›PMID 25954344›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014

Adapting a Clinical Data Repository to ICD-10-CM through the use of a Terminology Repository.

James J Cimino, Lyubov Remennick

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. 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. Clinical Data Warehousing: A Scoping Review.Journal of the Society for Clinical Data Management · 2024
    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

2 authors.

James J CiminoLaboratory for Informatics Development, NIH Clinical Center, Bethesda, MD.
Lyubov RemennickLaboratory for Informatics Development, NIH Clinical Center, Bethesda, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical data repositories frequently contain patient diagnoses coded with the International Classification of Diseases, Ninth Revision (ICD-9-CM). These repositories now need to accommodate data coded with the Tenth Revision (ICD-10-CM). Database users wish to retrieve relevant data regardless of the system by which they are coded. We demonstrate how a terminology repository (the Research Entities Dictionary or RED) serves as an ontology relating terms of both ICD versions to each other to support seamless version-independent retrieval from the Biomedical Translational Research Information System (BTRIS) at the National Institutes of Health. We make use of the Center for Medicare and Medicaid Services' General Equivalence Mappings (GEMs) to reduce the modeling effort required to determine whether ICD-10-CM terms should be added to the RED as new concepts or as synonyms of existing concepts. A divide-and-conquer approach is used to develop integration heuristics that offer a satisfactory interim solution and facilitate additional refinement of the integration as time and resources allow.

Indexed as

Biological OntologiesBiomedical ResearchDatabases, FactualInternational Classification of DiseasesElectronic Health RecordsHumansNational Institutes of Health (U.S.)Terminology as TopicUnited States

Identifiers

PMID25954344
PMCPMC4419915

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.