ICD coding training worldwide

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Reliability of diagnoses coding with ICD-10

OBJECTIVE Reliability of diagnoses coding is essential for the use of routine data in a national health care system. The present investigation compares reliability of diagnoses coding with ICD-10 between three groups of coding subjects. METHOD One hundred and eighteen students coded 15 diagnoses lists, 27 medical managers from hospitals 34 discharge letters, and 13 coding specialists 12 disch...

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Towards Automated ICD Coding Using Deep Learning

International Classification of Diseases(ICD) is an authoritative health care classification system of different diseases and conditions for clinical and management purposes. Considering the complicated and dedicated process to assign correct codes to each patient admission based on overall diagnosis, we propose a hierarchical deep learning model with attention mechanism which can automatically...

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Coding Common Respiratory Problems in ICD-10.

“Diseases of the Respiratory System” (J00-J99), perhaps more than any other chapter in ICD-10, leaves room for physicians to make a judgment call about how to code certain conditions. Before we get into the codes themselves, let’s explore a few confounding factors: 1. Symptom vs. diagnosis. With the exception of streptococcal pharyngitis and tonsillitis, a specific infectious agent causing a di...

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ICD-10 coding for the undiagnosed problem.

I some ways, ICD-10 coding is very much like ICD-9 coding but with more options, as the previous articles in this series have demonstrated. (See the series overview on page 18.) This article explains how to report symptoms, signs, and test results in the absence of a confirmed diagnosis. Under both ICD-9 and ICD-10, if your diagnosis is noted as “probable” or any other term that means a diagnos...

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Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

OBJECTIVES Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the res...

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ژورنال

عنوان ژورنال: International Journal of Population Data Science

سال: 2018

ISSN: 2399-4908

DOI: 10.23889/ijpds.v3i4.726