Identifying Indicators to Assess and Monitor Data Integration Engines Systems

Autores da FMUP

• Priscila Alves Maranhão

  Autor

• Ana Margarida Barbosa Ribeiro Pereira

  Autor

• Ricardo João Cruz Correia

  Autor

Unidades de investigação

• Medicina da Comunidade, Informação e Decisão em Saúde

• RISE-Health

  

  Investigador

  Fernando Carlos De Landér Schmitt

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.

Keywords

• Integration; indicators; interoperability