Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros











Base de dados
Intervalo de ano de publicação
1.
Stud Health Technol Inform ; 305: 331-334, 2023 Jun 29.
Artigo em Inglês | MEDLINE | ID: mdl-37387031

RESUMO

Among the main factors that negatively influence the decision-making process, it is possible to highlight the low quality, availability, and integration of population health data. This study aims to highlight the difficulty of research based on tuberculosis data available in Brazil. The FAIR methodology is a solution for standardizing data and sharing information about the disease. All the main actors involved, including those who generate data and administrators of information systems, should be encouraged to know their strengths and weaknesses. Continuously fostering strategies to promote data quality is, therefore, a strong stimulus for strengthening national health information systems and can potentially benefit from recommendations on how to overcome the inherent limitations of these information systems. Data quality management in Brazilian tuberculosis information systems is still not carried out organized and systematically. According to the FAIR principles, the evaluation demonstrates only 37.75% of compliance.


Assuntos
Pessoal Administrativo , Tuberculose , Humanos , Brasil , Fluxo de Trabalho , Confiabilidade dos Dados , Tuberculose/diagnóstico , Tuberculose/terapia
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA