Detection of inconsistencies in hospital data coding

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Gaspar, J (Autor) Outra; Lopes, F (Autor) Outra; Freitas A (Autor) FMUP

Ata de Conferência Internacional

Título: HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics

Páginas: 189-194

HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics

Vilamoura, Algarve, 1 February 2012 through 4 February 2012

Indexação

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-008-46G

Abstract (EN): Introduction: Health professionals need data, in sufficient quantity and quality, and tools that can manage the vast amount of available data. They need help for data management and appropriate support for decision making. Aim: The focus of this study is to develop a prototype that can contribute to the identification of data quality problems in clinical and administrative data. Methods: Methods involve the definition of requisites and business rules, the prototype development and testing, and the realization of two studies using the prototype. Results: Studies performed using the prototype resulted in the detection of many data problems and inconsistencies. Amongst those we can point out, for instance, that 82,000 (15%) episodes had 'diagnostic code does not exist in ICD-9-CM table' and that 783 (0,2%) episodes within 'female breast cancer' had the variable gender equal to 'male'. Discussion: This prototype, besides contributing to the detection of data quality problems, is also expected to be an incentive to the improvement of information system architectures. It shows the importance of the development of mechanisms to detect and validate data in health environments.

Idioma: Inglês

Tipo (Avaliação Docente): Científica