The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MedEx: a medication information extraction system for clinical narratives
Open accessAbstract
Medication information is one of the most important types of clinical data in electronic medical records. It is critical for healthcare safety and quality, as well as for clinical research that uses electronic medical record data. However, medication data are often recorded in clinical notes as free-text. As such, they are not accessible to other computerized applications that rely on coded data. We describe a new natural language processing system (MedEx), which extracts medication information from clinical notes. MedEx was initially developed using discharge summaries. An evaluation using a data set of 50 discharge summaries showed it performed well on identifying not only drug names (F-measure 93.2%), but also signature information, such as strength, route, and frequency, with F-measures of 94.5%, 93.9%, and 96.0% respectively. We then applied MedEx unchanged to outpatient clinic visit notes. It performed similarly with F-measures over 90% on a set of 25 clinic visit notes.
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Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
Fiszman, M., Chapman, W. W., Aronsky, D., Evans, R. S., & Haug, P. J. (2000) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2000.0070593 · Cited by 250
Cited by
Mining electronic health records: towards better research applications and clinical care
Jensen, P. B., Jensen, L. J., & Brunak, S. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3208 · Cited by 1,680
Case definition and phenotype standardization in drug-induced liver injury
Aithal, G. P., Watkins, P. B., Andrade, R. J., Larrey, D., Molokhia, M., Takikawa, H., Hunt, C. M., Wilke, R. A., Avigan, M., Kaplowitz, N., et al. (2011) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2011.58 · Cited by 944
Clinical information extraction applications: A literature review
Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., Liu, S., Zeng, Y., Mehrabi, S., Sohn, S., et al. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.11.011 · Cited by 910
Kreimeyer, K., Foster, M., Pandey, A., Arya, N., Halford, G., Jones, S. F., Forshee, R., Walderhaug, M., & Botsis, T. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.07.012 · Cited by 616
Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium
Kho, A. N., Pacheco, J. A., Peissig, P. L., Rasmussen, L., Newton, K. M., Weston, N., Crane, P. K., Pathak, J., Chute, C. G., Bielinski, S. J., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3001807 · Cited by 336
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Metadata
- Authors
- Xu, H., Stenner, S. P., Doan, S., Johnson, K. B., Waitman, L. R., & Denny, J. C.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-01-01
- Volume
- 17
- Issue
- 1
- Pages
- 19-24
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- OpenAlex
- W2159636537
- Cited by
- 531
- References
- 1
- FWCI
- 12.52
- Type
- journal article
- Language
- en
- Open access
- green
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- Xu, H., Stenner, S. P., Doan, S., Johnson, K. B., Waitman, L. R., & Denny, J. C. (2010). MedEx: a medication information extraction system for clinical narratives. Journal of the American Medical Informatics Association. https://doi.org/10.1197/jamia.m3378
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