Evidence map›Paper›PMID 25863652›Full record

ArticleThe American journal of emergency medicine2015

The complexity and challenges of the International Classification of Diseases, Ninth Revision, Clinical Modification to International Classification of Diseases, 10th Revision, Clinical Modification transition in EDs.

Jacob Krive, Mahatkumar Patel, Lisa Gehm, Mark Mackey, Erik Kulstad, Jianrong John Li, Yves A Lussier, Andrew D Boyd

Abstract read
In one paragraph

Article in The American journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
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  9. Article
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  12. Article
  13. Entropic measures of complexity in a new medical coding system.BMC medical informatics and decision making · 2021
    Article
  14. Article
  15. Observational
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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

8 authors.

Jacob KriveDepartment of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, IL.
Mahatkumar PatelDepartment of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, IL.
Lisa GehmDepartment of Emergency Medicine, University of Illinois at Chicago, Chicago, IL.
Mark MackeyDepartment of Emergency Medicine, University of Illinois at Chicago, Chicago, IL.
Erik KulstadDepartment of Emergency Medicine, University of Illinois at Chicago, Chicago, IL; Advocate Christ Medical Center, Oak Lawn, IL.
Jianrong John LiDepartment of Medicine, University of Arizona, Tucson, AZ.
Yves A LussierDepartment of Medicine, University of Arizona, Tucson, AZ.
Andrew D BoydDepartment of Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, IL. Electronic address: boyda@uic.edu.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029879 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MAZZONE, THEODORE · 2009 to 2011
$11.0M
Center for Clinical and Translational ScienceUL1TR000050 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AZAR, DIMITRI T, MERMELSTEIN, ROBIN J. · 2012 to 2014
$9.8M
NCATS NIH HHS UL1 TR000050NCATS NIH HHS UL1TR000050NCRR NIH HHS 1UL1RR029879-01
6 · The paper itself

Abstract

Beginning October 2015, the Center for Medicare and Medicaid Services will require medical providers to use the vastly expanded International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) system. Despite wide availability of information and mapping tools for the next generation of the ICD classification system, some of the challenges associated with transition from ICD-9-CM to ICD-10-CM are not well understood. To quantify the challenges faced by emergency physicians, we analyzed a subset of a 2010 Illinois Medicaid database of emergency department ICD-9-CM codes, seeking to determine the accuracy of existing mapping tools in order to better prepare emergency physicians for the change to the expanded ICD-10-CM system. We found that 27% of 1830 codes represented convoluted multidirectional mappings. We then analyzed the convoluted transitions and found that 8% of total visit encounters (23% of the convoluted transitions) were clinically incorrect. The ambiguity and inaccuracy of these mappings may impact the workflow associated with the translation process and affect the potential mapping between ICD codes and Current Procedural Codes, which determine physician reimbursement.

Indexed as

Emergency Service, HospitalInternational Classification of DiseasesCenters for Medicare and Medicaid Services, U.S.Clinical CodingHumansReimbursement MechanismsUnited States

Identifiers

PMID25863652
PMCPMC4430372

What OpenQuestion holds

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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.