Abstract
The multi-national MIDAS (Meaningful Integration of Data Analytics and Services) project is developing a big data platform to facilitate utilisation of a wide range of health and social care data to enable integration of heterogeneous data sources, providing analytics, forecasting tools and bespoke visualisations of actionable epidemiological data. An evaluation framework starting with a logic model and semi-structured interviews using the principles of realist evaluation was developed working with end users and software developers. Parallel case studies were used to address the requirements of stakeholders at critical time points during the project. The objective was to ensure IT systems development is in line with end user requirements. Overall, the early stage interviews findings indicated the logic model is an effective framework for the evaluation of the project.
Recommended Citation
Boilson, Andrew; Staines, Anthony; Connolly, Regina; Davis, Paul; Connolly, Justin; and Weston, Dale, "Logic Model Early Stage Evaluation of a European Public Health Data Analytic Framework" (2019). UK Academy for Information Systems Conference Proceedings 2019. 9.
https://aisel.aisnet.org/ukais2019/9