Evidence map›Paper›PMID 29888037›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2018

ICD-10 procedure codes produce transition challenges.

Andrew D Boyd, Jianrong 'John' Li, Colleen Kenost, Samir Rachid Zaim, Jacob Krive, Manish Mittal, Richard A Satava, Michael Burton, Jacob Smith, Yves A Lussier

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Entropic measures of complexity in a new medical coding system.BMC medical informatics and decision making · 2021
    Article
  5. Article
  6. 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

10 authors.

Andrew D BoydDept of Biomedical and Health Information Sciences, University of Illinois at Chicago.
Jianrong 'John' LiCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, Arizona, USA.
Colleen KenostCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, Arizona, USA.
Samir Rachid ZaimCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, Arizona, USA.
Jacob KriveDept of Biomedical and Health Information Sciences, University of Illinois at Chicago.
Manish MittalDept of Biomedical and Health Information Sciences, University of Illinois at Chicago.
Richard A SatavaDept of Surgery, University of Washington Medical Center, Seattle, Washington, USA.
Michael BurtonDept of Medicine, University of Illinois at Chicago.
Jacob SmithCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, Arizona, USA.
Yves A LussierCenter for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, Arizona, USA.

Funding

Semantic Approaches to Phenotypic Databases AnalysesK22LM008308 · NLM · UNIVERSITY OF CHICAGO · PI LUSSIER, YVES A · 2004 to 2006
$468k
NLM NIH HHS K22 LM008308
6 · The paper itself

Abstract

The transition of procedure coding from ICD-9-CM-Vol-3 to ICD-10-PCS has generated problems for the medical community at large resulting from the lack of clarity required to integrate two non-congruent coding systems. We hypothesized that quantifying these issues with network topology analyses offers a better understanding of the issues, and therefore we developed solutions (online tools) to empower hospital administrators and researchers to address these challenges. Five topologies were identified: "identity"(I), "class-to-subclass"(C2S), "subclass-toclass"(S2C), "convoluted(C)", and "no mapping"(NM). The procedure codes in the 2010 Illinois Medicaid dataset (3,290 patients, 116 institutions) were categorized as C=55%, C2S=40%, I=3%, NM=2%, and S2C=1%. Majority of the problematic and ambiguous mappings (convoluted) pertained to operations in ophthalmology cardiology, urology, gyneco-obstetrics, and dermatology. Finally, the algorithms were expanded into a user-friendly tool to identify problematic topologies and specify lists of procedural codes utilized by medical professionals and researchers for mitigating error-prone translations, simplifying research, and improving quality.http://www.lussiergroup.org/transition-to-ICD10PCS.

Identifiers

PMID29888037
PMCPMC5961828

What OpenQuestion holds

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Registered trials

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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.