Identifying Indicators To Assess And Monitor Data Integration Engines Systems

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.