Literature DB >> 10219948

Questions on validity of International Classification of Diseases-coded diagnoses.

G Surján1.   

Abstract

International Classification of Diseases (ICD) codes are used for indexing medical diagnoses for various purposes and in various contexts. According to the literature and our personal experience, the validity of the coded information is unsatisfactory in general, however the 'correctness' is purpose and environment dependent. For detecting potential error sources, this paper gives a general framework of the coding process. The key elements of this framework are: (1) the formulation of the established diagnoses in medical language; (2) the induction from diagnoses to diseases; (3) indexing the diseases to ICD categories; (4) labelling of the coded entries (e.g. principal disease, complications, etc.). Each step is a potential source of errors. The most typical types of error are: (1) overlooking of diagnoses; (2) incorrect or skipped induction; (3) indexing errors; (4) violation of ICD rules and external regulations. The main reasons of the errors are the physician's errors in the primary documentation, the insufficient knowledge of the encoders (different steps of the coding process require different kind of knowledge), the internal inconsistency of the ICD, and some psychological factors. Computer systems can facilitate the coding process, but attention has to be paid to the entire coding process, not only to the indexing phase.

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Mesh:

Year:  1999        PMID: 10219948     DOI: 10.1016/s1386-5056(98)00171-3

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  24 in total

1.  Classifications in routine use: lessons from ICD-9 and ICPM in surgical practice.

Authors:  J Stausberg; H Lang; U Obertacke; F Rauhut
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

2.  A data mining approach to characterizing medical code usage patterns.

Authors:  William E Spangler; Jerrold H May; David P Strum; Luis G Vargas
Journal:  J Med Syst       Date:  2002-06       Impact factor: 4.460

3.  Coding Geriatric syndromes: How good are we?

Authors:  Ike Ugboma; Holly E Syddall; Vanessa Cox; Cyrus Cooper; Roger Briggs; Avan Aihie Sayer
Journal:  CME J Geriatr Med       Date:  2008

4.  Evaluation of factors influencing accuracy of principal procedure coding based on ICD-9-CM: an Iranian study.

Authors:  Mehrdad Farzandipour; Abbas Sheikhtaheri
Journal:  Perspect Health Inf Manag       Date:  2009-05-07

5.  Reliability of coding causes of death with ICD-10 in Germany.

Authors:  Volker Winkler; Jördis J Ott; Heiko Becher
Journal:  Int J Public Health       Date:  2009-07-28       Impact factor: 3.380

6.  Three- and four-digit ICD-10 is not a reliable classification system in primary care.

Authors:  Rosemarie Wockenfuss; Thomas Frese; Kristin Herrmann; Melanie Claussnitzer; Hagen Sandholzer
Journal:  Scand J Prim Health Care       Date:  2009       Impact factor: 2.581

7.  Measuring the Information Gain of Diagnosis vs. Diagnosis Category Coding.

Authors:  William R Hogan; Vergil N Slee
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

8.  Determination of problematic ICD-9-CM subcategories for further study of coding performance: Delphi method.

Authors:  Xiaoming Zeng; Paul D Bell
Journal:  Perspect Health Inf Manag       Date:  2011-04-01

9.  Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.

Authors:  Shikha Chaganti; Louise A Mawn; Hakmook Kang; Josephine Egan; Susan M Resnick; Lori L Beason-Held; Bennett A Landman; Thomas A Lasko
Journal:  IEEE J Biomed Health Inform       Date:  2018-12-28       Impact factor: 5.772

10.  Cancer metastasis networks and the prediction of progression patterns.

Authors:  L L Chen; N Blumm; N A Christakis; A-L Barabási; T S Deisboeck
Journal:  Br J Cancer       Date:  2009-09-01       Impact factor: 7.640

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