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Identifying Indicators to Assess and Monitor Data Integration Engines Systems. | LitMetric

Identifying Indicators to Assess and Monitor Data Integration Engines Systems.

Stud Health Technol Inform

Center for Health and Technology and Services Research - CINTESIS, University of Porto, Portugal.

Published: June 2020

Unlabelled: 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.

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Source
http://dx.doi.org/10.3233/SHTI200419DOI Listing

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