Clinical Research Informatics: Contributions from 2023
- PMID: 40199299
- PMCID: PMC12020644
- DOI: 10.1055/s-0044-1800733
Clinical Research Informatics: Contributions from 2023
Abstract
Objectives: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select the best papers published in 2023.
Methods: A bibliographic search using a combination of MeSH descriptors and free-text terms on CRI was performed using PubMed, followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. After peer-review ranking, a consensus meeting between the two section editors and the editorial team was organized to finally conclude on the selected three best papers.
Results: Among the 1,119 papers returned by the search, published in 2023, that were in the scope of the various areas of CRI, the full review process selected three best papers. The first best paper describes the process undertaken in Germany, under the national Medical Informatics Initiative, to define and validate a provenance metadata framework to enable the interpretation including quality assessment of health data reused for research. The authors of the second-best paper present a methodology for the generation of computable phenotypes and the covariates associated with success rates in e-phenotype validation. The third-best presents a review of published and accessible tools that enable the assessment of health data quality through an automated process. This year's survey paper marks the tenth anniversary of the CRI section of the Yearbook by reviewing the dominant themes within CRI over the past decade and the major milestone innovations within this field.
Conclusions: The literature relevant to CRI in 2023 has largely been populated by publications that assess and enhance the reusability of health data for clinical research, in particular data quality assessment and metadata management.
The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).
Conflict of interest statement
Disclosure The authors report no conflicts of interest in this work.
References
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- Gierend K, Waltemath D, Ganslandt T, Siegel F. Traceable Research Data Sharing in a German Medical Data Integration Center With FAIR (Findability, Accessibility, Interoperability, and Reusability)-Geared Provenance Implementation: Proof-of-Concept Study. JMIR Form Res 2023;7:e50027. doi: 10.2196/50027. - PMC - PubMed
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- Mystre S, Heider P, Cates A, Bastian G, Pittman T, Gentillin S, et al. Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models. BMC Medical Research Methodology 2023;23:88. doi : 10.1186/s12874-023-01916-6. - PMC - PubMed
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