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1.
Artigo em Russo | MEDLINE | ID: mdl-35157392

RESUMO

Actually, in many medical organizations there is an inexpedient structure of labor costs of medical workers, in many respects associated with large time spent on making up medical documentation. The very important aspect is proper formulation of clinical diagnosis and its coding according to the International Classification of Diseases of the 10th revision that in most cases is performed in tradition mode (so called manual coding). The article presents results of functional and cost analysis of application of automated system of coding support in various departments of the Medical Sanitary Unit of of the Ministry of Internal Affairs of Russia at the Moscow Oblast. The study established significant difference in time spent and cost of coding process before and after implementation of automated system. The automated coding of diagnosis permits to reduce six-fold time and cost of coding process, as well as up to 12.6% reduce number of coding errors. The results of functional and cost analysis serve as an objective justification of economic expediency of implementing automated system of diagnosis coding support in multidisciplinary hospital.


Assuntos
Classificação Internacional de Doenças , Custos e Análise de Custo , Humanos , Moscou , Federação Russa
2.
Artigo em Russo | MEDLINE | ID: mdl-34486868

RESUMO

The common coding of main diagnosis (so-called "manual coding") is accompanied by quite many errors associated with inobservance of classification algorithm and subjective causes that in statistical morbidity and mortality data corruption. The article presents the results of implementing automated system of diagnosis coding by the ICD-10 in the departments of the Medicosanitary Unit of MVD of Russia in City of Moscow. The functional and time losses and the error rate were studied under manual coding and automated coding system. In case of common coding of complete clinical diagnosis of one discharged patient per day, it takes from 5 to 15 minutes, for coding diagnoses of all discharged patients - about 1 hour. The number of errors in common coding made up to 14.1% (n=2472) and in case of automated coding it made up to 1.5% (n= 63, p>0.05). The application of automated coding system in medical organizations ensures exact correspondence of clinical and statistical diagnosis, unifies wording of clinical diagnosis, minimizes subjective deviations from algorithm of the ICD-10.


Assuntos
Classificação Internacional de Doenças , Unidades Móveis de Saúde , Algoritmos , Humanos , Morbidade , Alta do Paciente
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