The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A comparative effectiveness study of eSource used for data capture for a clinical research registry
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“While this was significantly better than the conventional HTR results, we should note that it is still about 60% less accurate than the upper error rates reported for non-expert human transcribers (Feng et al 2020;Nordo et al 2017;Oliveira 2018;Stolcke 2017).”
From Unlocking the archives: Using large language models to transcribe handwritten historical documents (2025) · cites this paper as Nordo et al 2017
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Citations
Cites
Diagnosing the decline in pharmaceutical R&D efficiency
Scannell, J. W., Blanckley, A., Boldon, H., & Warrington, B. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3681 · Cited by 1,981
The Randomized Registry Trial — The Next Disruptive Technology in Clinical Research?
Lauer, M. S., & D'Agostino, R. B. (2013) · New England Journal of Medicine · doi:10.1056/nejmp1310102 · Cited by 595
Research works printed but not linked: 10
- Munos, 2009, Lessons from 60 years of pharmaceutical innovation, Nat. Rev. Drug Discov., 8, 959, 10.1038/nrd2961 · DOI
- Getz, 2014, Improving protocol design feasibility to drive drug development economics and performance, Int. J. Environ. Res. Public Health, 12, 5069, 10.3390/ijerph110505069 · DOI
- Eisenstein, 2008, Sensible approaches for reducing clinical trial costs, Clin. Trials, 5, 75, 10.1177/1740774507087551 · DOI
- Morrison, 2011, Monitoring the quality of conduct of clinical trials: a survey of current practices, Clin. Trials, 8, 342, 10.1177/1740774511402703 · DOI
- Lobach, 2013, A randomized trial of population-based clinical decision support to manage health and resource use for medicaid beneficiaries, J. Med. Syst., 37, 9922, 10.1007/s10916-012-9922-3 · DOI
- Frobert, 2013, Thrombus aspiration during ST-segment elevation myocardial infarction, N. Engl. J. Med., 369, 1587, 10.1056/NEJMoa1308789 · DOI
- Botsis, 2010, Secondary use of EHR: data quality issues and informatics opportunities, Summit Trans Bioinf, 2010, 1
- Fadly, 2011, Integrating clinical research with the healthcare enterprise: from the RE-USE project to the EHR4CR platform, J. Biomed. Inform., 44, S94, 10.1016/j.jbi.2011.07.007 · DOI
- Ferranti, 2006, The clinical document architecture and the continuity of care record: a critical analysis, J. Am. Med. Inform. Assoc., 13, 245, 10.1197/jamia.M1963 · DOI
- Harris, 2009, Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support, J. Biomed. Inform., 42, 377, 10.1016/j.jbi.2008.08.010 · DOI · Paper page
Cited by
Unlocking the archives: Using large language models to transcribe handwritten historical documents
Humphries, M., Leddy, L. C., Downton, Q., Legace, M., McConnell, J., Murray, I., & Spence, E. (2025) · Historical Methods: A Journal of Quantitative and Interdisciplinary History · doi:10.1080/01615440.2025.2500309 · Cited by 72
Metadata
- Authors
- Nordo, A. H., Eisenstein, E. L., Hawley, J., Vadakkeveedu, S., Pressley, M., Pennock, J., & Sanderson, I.
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 103
- Pages
- 89-94
- ISSN
- 1386-5056
- PMC
- PMC5942198
- Cited by
- 38
- References
- 2
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
