Portal de investigação
Identifying Indicators to Assess and Monitor Data Integration Engines Systems
Autores da FMUP
Unidades de investigação
Abstract
We aimed to identify relevant indicators for end-users in integration engines for healthcare systems. Methods: The study was performed in two steps, including interviews and the identification of additional indicators from the literature. Results: 10 interviews were performed and 90 indicators identified. Discussion: Several of the indicators are difficult to calculate, nevertheless, they have the potential to improve data quality and processes in healthcare institutions and should be further explored in future studies.
Dados da publicação
- ISSN/ISSNe:
- 0926-9630, 1879-8365
- Tipo:
- Proceedings Paper
- Páginas:
- 1315-1316
- DOI:
- 10.3233/SHTI200419
- Link para outro recurso:
- www.scopus.com
Studies in Health Technology and Informatics IOS Press BV
Documentos
- Não há documentos
Filiações
Keywords
- Integration; indicators; interoperability
Proyectos asociados
Predição do resultado neonatal baseado na idade gestacional e peso ao nascimento: uma graduação de risco para cenários de nascimento com poucos recursos.
Investigador Principal: Ricardo João Cruz Correia
Estudo Observacional Académico (NEONATAL) . 2019
Citar a publicação
Maranhao P,Pereira AM,Cruz RJ. Identifying Indicators to Assess and Monitor Data Integration Engines Systems. En:30th Medical Informatics Europe Conference, MIE 2020. 2020. Geneva. NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS:IOS Press BV. 2020. P.p. 1315-1316.
