Evidence map›Paper›PMID 20819871›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Migrating existing clinical content from ICD-9 to SNOMED.

Prakash M Nadkarni, Jonathan A Darer

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Classification, Ontology, and Precision Medicine.The New England journal of medicine · 2018
    Review
  13. Article
  14. Article
  15. A review of medical terminology standards and structured reporting.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Challenges and remediation for Patient Safety Indicators in the transition to ICD-10-CM.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  20. An integrated billing application to streamline clinician workflow.AMIA ... Annual Symposium proceedings. AMIA Symposium · 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

2 authors.

Prakash M NadkarniYale University School of Medicine, USA. Prakash.Nadkarni@yale.edu
Jonathan A Darer

Funding

WTC Responder Health Consortium Clinical CenterU10OH008225 · OH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI CRANE, MICHAEL ANTHONY · 2004 to 2010
$123.4M
ROBUST QUERY OF HETEROGENEOUS CLINICAL DATABASESR01LM006843 · NLM · YALE UNIVERSITY · PI NADKARNI, PRAKASH M. · 2000 to 2002
$878k
NIOSH CDC HHS U10 OH008225NLM NIH HHS R01 LM006843
6 · The paper itself

Abstract

objectiveTo identify challenges in mapping internal International Classification of Disease, 9th edition, Clinical Modification (ICD-9-CM) encoded legacy data to Systematic Nomenclature of Medicine (SNOMED), using SNOMED-prescribed compositional approaches where appropriate, and to explore the mapping coverage provided by the US National Library of Medicine (NLM)'s SNOMED clinical core subset.

designThis study selected ICD-CM codes that occurred at least 100 times in the organization's problem list or diagnosis data in 2008. After eliminating codes whose exact mappings were already available in UMLS, the remainder were mapped manually with software assistance.

resultsOf the 2194 codes, 784 (35.7%) required manual mapping. 435 of these represented concept types documented in SNOMED as deprecated: these included the qualifying phrases such as 'not elsewhere classified'. A third of the codes were composite, requiring multiple SNOMED code to map. Representing 45 composite concepts required introducing disjunction ('or') or set-difference ('without') operators, which are not currently defined in SNOMED. Only 47% of the concepts required for composition were present in the clinical core subset. Search of SNOMED for the correct concepts often required extensive application of knowledge of both English and medical synonymy.

conclusionStrategies to deal with legacy ICD data must address the issue of codes created by non-taxonomist users. The NLM core subset possibly needs augmentation with concepts from certain SNOMED hierarchies, notably qualifiers, body structures, substances/products and organisms. Concept-matching software needs to utilize query expansion strategies, but these may be effective in production settings only if a large but non-redundant SNOMED subset that minimizes the proportion of extensively pre-coordinated concepts is also available.

Indexed as

International Classification of DiseasesSystematized Nomenclature of MedicineSoftware

Identifiers

PMID20819871
PMCPMC2995664

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.