Literature DB >> 34555947

Training and experience of coding with the World Health Organization's International Classification of Diseases, Eleventh Revision.

Cathy A Eastwood1, Danielle A Southern1, Chelsea Doktorchik1, Shahreen Khair1, Denise Cullen2, Alicia Boxill2, Malgorzata Maciszewski3, Lucia Otero Varela1, William Ghali1, Lori Moskal2, Hude Quan1.   

Abstract

BACKGROUND: The new International Classification of Diseases, Eleventh Revision for Mortality and Morbidity Statistics (ICD-11) was developed and released by the World Health Organization (WHO) in June 2018. Because ICD-11 incorporates new codes and features, training materials for coding with ICD-11 are urgently needed prior to its implementation.
OBJECTIVE: This study outlines the development of ICD-11 training materials, training processes and experiences of clinical coders while learning to code using ICD-11.
METHOD: Six certified clinical coders were recruited to code inpatient charts using ICD-11. Training materials were developed with input from experts from the Canadian Institute for Health Information and the WHO, and the clinical coders were trained to use the new classification. Monthly team meetings were conducted to enable discussions on coding issues and to select the correct ICD-11 codes. The training experience was evaluated using qualitative interviews, a questionnaire and a coding quiz.
RESULTS: total of 3011 charts were coded using ICD-11. In general, clinical coders provided positive feedback regarding the training program. The average score for the coding quiz (multiple choice, True/False) was 84%, suggesting that the training program was effective. Feedback from the coders enabled the ICD-11 code content, electronic tooling and terminologies to be updated.
CONCLUSION: This study provides a detailed account of the processes involved with training clinical coders to use ICD-11. Important findings from the interviews were reported at the annual WHO conferences, and these findings helped improve the ICD-11 browser and reference guide.

Entities:  

Keywords:  Clinical Coding; Health Information Management; ICD-10; ICD-11; International Classification of Diseases; WHO; World Health Organization; education; training

Year:  2021        PMID: 34555947     DOI: 10.1177/18333583211038633

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  2 in total

1.  Decision algorithm for when to use the ICD-11 3-part model for healthcare harms.

Authors:  Cathy A Eastwood; Shahreen Khair; Danielle A Southern
Journal:  BMC Med Inform Decis Mak       Date:  2022-06-07       Impact factor: 3.298

2.  Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data.

Authors:  Natalie Wiebe; Hude Quan; Danielle A Southern; Chelsea Doktorchik; Catherine Eastwood
Journal:  Int J Popul Data Sci       Date:  2021-10-19
  2 in total

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