International Classification of Diseases clinical coding training: An international survey

Lucia Otero Varela; Chelsea Doktorchik; Natalie Wiebe; Danielle A Southern; Søren Knudsen; Pallavi Mathur; Hude Quan; Cathy A Eastwood

doi:10.1177/18333583221106509

International Classification of Diseases clinical coding training: An international survey

Lucia Otero Varela, Chelsea Doktorchik, Natalie Wiebe, Danielle A Southern, Søren Knudsen, Pallavi Mathur, Hude Quan, Cathy A Eastwood

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

Abstract

The International Classification of Diseases (ICD) is widely used by clinical coders worldwide for clinical coding morbidity data into administrative health databases. Accordingly, hospital data quality largely depends on the coders’ skills acquired during ICD training, which varies greatly across countries.

Original language	Undefined/Unknown
Journal	Health information management : journal of the Health Information Management Association of Australia
ISSN	1322-4913
DOIs	https://doi.org/10.1177/18333583221106509
Publication status	Published - 1 Jul 2022

Keywords

international classification of diseases
clinical coding
health information management
education
data accuracy
data quality

Access to Document

10.1177/18333583221106509Licence: CC BY-NC

otero-varela-et-al-2022-international-classification-of-diseases-clinical-coding-training-an-international-surveyFinal published version, 833 KBLicence: CC BY-NC

Cite this

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title = "International Classification of Diseases clinical coding training: An international survey",

abstract = "The International Classification of Diseases (ICD) is widely used by clinical coders worldwide for clinical coding morbidity data into administrative health databases. Accordingly, hospital data quality largely depends on the coders{\textquoteright} skills acquired during ICD training, which varies greatly across countries.",

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author = "{Otero Varela}, Lucia and Chelsea Doktorchik and Natalie Wiebe and Southern, {Danielle A} and S{\o}ren Knudsen and Pallavi Mathur and Hude Quan and Eastwood, {Cathy A}",

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International Classification of Diseases clinical coding training: An international survey. / Otero Varela, Lucia; Doktorchik, Chelsea; Wiebe, Natalie et al.
In: Health information management : journal of the Health Information Management Association of Australia, 01.07.2022.

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

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T1 - International Classification of Diseases clinical coding training: An international survey

AU - Otero Varela, Lucia

AU - Doktorchik, Chelsea

AU - Wiebe, Natalie

AU - Southern, Danielle A

AU - Knudsen, Søren

AU - Mathur, Pallavi

AU - Quan, Hude

AU - Eastwood, Cathy A

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AB - The International Classification of Diseases (ICD) is widely used by clinical coders worldwide for clinical coding morbidity data into administrative health databases. Accordingly, hospital data quality largely depends on the coders’ skills acquired during ICD training, which varies greatly across countries.

KW - international classification of diseases

KW - clinical coding

KW - health information management

KW - education

KW - data accuracy

KW - data quality

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KW - clinical coding

KW - health information management

KW - education

KW - data accuracy

KW - data quality

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DO - 10.1177/18333583221106509

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