An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse
A range of metrics can be derived from metadata logged in the i2b2 database schema to provide data engineers and data stewards with a comprehensive understanding of how users interact with the platform. This can help to identify the strengths and limitations of specific instances of the platform for specific use cases and aid their iterative improvement.
Authors
- Marco Johns (ORCID: https://orcid.org/0000-0003-4706-6595)
- Felix Nikolaus Wirth (ORCID: https://orcid.org/0000-0002-6418-2806)
- Fabian Praßer (ORCID: https://orcid.org/0000-0003-3172-3095)
- Lena Baum (ORCID: https://orcid.org/0000-0003-4983-4025)
- Katharina Schönrath (ORCID: https://orcid.org/0000-0002-7973-7536)
- Diogo Telmo Neves (ORCID: https://orcid.org/0000-0002-0321-6814)
- Mehmed Halilovic (ORCID: https://orcid.org/0000-0003-2508-2180)
- Joachim E. Weber (ORCID: https://orcid.org/0000-0002-1666-6021)
- Vladimir Milićević (ORCID: https://orcid.org/0000-0002-5587-2717)
- Karen Otte
- Hammam Abu Attieh (ORCID: https://orcid.org/0009-0006-6149-1503)
- Armin Müller (ORCID: https://orcid.org/0000-0003-3566-8687)
- Anna Pasquier
- Patrick Segelitz
Institutions
- Humboldt-Universität zu Berlin (DE)
- German Centre for Cardiovascular Research (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1186/s12911-024-02748-0
- Citations
- 1
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Charité – Universitätsmedizin Berlin