Health data quality criteria: a quantitative analysis abstract

• Autor(a) principal: Gualdani, Fabrício Amadeu
• Data de Publicação: 2022
• Outros Autores: Marchi, Késsia Rita da Costa, Alves, Fábio Henrique, Botega, Leonardo Castro
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Informação & Informação
• Texto Completo: https://ojs.uel.br/revistas/uel/index.php/informacao/article/view/43782
• topic: Qualidade de dados; Critérios de qualidade de dados; Qualidade de dados em saúde; Saúde; Data quality; Data quality criteria; Health data quality; Health; Calidad de los datos; Criterios de calidad de los datos; Calidad de los datos sanitários; Salud

Objective: This article proposes a reflection on how data quality criteria have been approached in works that discuss data from the health area, making it possible to recognize the panorama on these criteria and identify the gaps that require greater efforts. Methodology: The methodological procedures consist of a systematic literature review that aimed to identify, analyze and quantify the criteria of quality of data that are addressed in health. Results: As results, the quality criteria of mapped and categorized data are presented, identifying the accuracy, consistency and completeness as the most addressed criteria and currentness, temporality, confidentiality and plausibility, being the least mentioned. Conclusions: It is concluded that there is both overload and the lack of use of certain criteria, therefore, the criteria that presented this lack generate the possibility of being better addressed and explored in future works and, also, the relevance of these criteria cannot be ruled out, considering that its application depends on specific scenarios and situations.