期刊论文详细信息
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The International Statistical Classifications in the National Electronic Health Care System
Lazebnyk Iuliia O.1 
[1] Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University ;
关键词: statistical classifications;    electronic health care;    e-health;    International Classification of Diseases (ICD);    International Classification of Functioning;    Disability and Health (ICF);    International Classification of Medical Interventions (ICMI);   
DOI  :  
来源: DOAJ
【 摘 要 】

The article is aimed at forming and analyzing the system of international statistical classifications suitable for use in the national electronic health care system. The need to popularize and disseminate the use of international standards and statistical classifications is substantiated, due to the need to standardize available information to support and improve the efficiency of functioning of the national electronic health care system. The author considers the family of classifiers of the World Health Organization, which contains classifiers of three types: etalon (reference), derivatives, and related classifications. The most common etalon classifications in the international electronic health care system, namely: International Classification of Diseases (ICD), International Classification of Functioning, Disability and Health (ICF), and International Classification of Medical Interventions (ICMI), are analyzed.

【 授权许可】

Unknown   

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