Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation
This proposal presents a template for predicting data quality and incorporating the resulting quality information into the metadata of a data integration center, a concept not previously implemented. The model was deployed for data inspection using a hybrid approach that combines the trained model with conventional inspection methods.
Authors
- Tibor Kesztyüs (ORCID: https://orcid.org/0000-0003-0813-2393)
- Hans A. Kestler (ORCID: https://orcid.org/0000-0002-4759-5254)
- Caroline Bönisch (ORCID: https://orcid.org/0000-0001-7169-6090)
- Christian Schmidt (ORCID: https://orcid.org/0000-0002-9010-2080)
- Dorothea Kesztyüs (ORCID: https://orcid.org/0000-0002-2166-846X)
Institutions
- Universität Ulm (DE)
- Universitätsmedizin Göttingen (DE)
- University of Applied Sciences Stralsund (DE)
- University Hospital Ulm (DE)
- University of Göttingen (DE)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-06-30
- DOI
- https://doi.org/10.2196/60204
- Citations
- 2
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.21