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Cited by 38

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

Nordo, Amy Harris, Eisenstein, Eric L., Hawley, Jeffrey, Vadakkeveedu, Sai, Pressley, Melissa, Pennock, Jennifer, Sanderson, Iain·2017·International Journal of Medical Informatics

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Crossref · 10.1016/j.ijmedinf.2017.04.015

Cites

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Statistics

Figures

Fig. 1 Traditional Data Transcription (non-eSource) workflow.
Fig. 1 Traditional Data Transcription (non-eSource) workflow.CC BY-NC-ND · PubMed Central
Fig. 2 eSource workflow.
Fig. 2 eSource workflow.CC BY-NC-ND · PubMed Central

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Citations

Cites

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Research works printed but not linked: 10

  1. Munos, 2009, Lessons from 60 years of pharmaceutical innovation, Nat. Rev. Drug Discov., 8, 959, 10.1038/nrd2961 · DOI
  2. 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
  3. Eisenstein, 2008, Sensible approaches for reducing clinical trial costs, Clin. Trials, 5, 75, 10.1177/1740774507087551 · DOI
  4. Morrison, 2011, Monitoring the quality of conduct of clinical trials: a survey of current practices, Clin. Trials, 8, 342, 10.1177/1740774511402703 · DOI
  5. 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
  6. Frobert, 2013, Thrombus aspiration during ST-segment elevation myocardial infarction, N. Engl. J. Med., 369, 1587, 10.1056/NEJMoa1308789 · DOI
  7. Botsis, 2010, Secondary use of EHR: data quality issues and informatics opportunities, Summit Trans Bioinf, 2010, 1
  8. 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
  9. 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
  10. 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

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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
Cited by
38
References
2
Language
en

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CoChat. (2026). Citation check: A comparative effectiveness study of eSource used for data capture for a clinical research registry. https://app.cochat.ai/papers/10.1016/j.ijmedinf.2017.04.015
The paper
Nordo, A. H., Eisenstein, E. L., Hawley, J., Vadakkeveedu, S., Pressley, M., Pennock, J., & Sanderson, I. (2017). A comparative effectiveness study of eSource used for data capture for a clinical research registry. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2017.04.015

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.