The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Using information technology to reduce rates of medication errors in hospitals
Open accessAbstract
Data continue to show that medication errors are frequent and that adverse drug events, or injuries due to drugs, occur more often than necessary.1–4 In fact, the frequency and consequences of iatrogenic injuries seems to dwarf the frequency of other types of injuries that have received more public attention, such as aeroplane and automobile crashes.2 A recent meta-analysis reported an overall incidence of 6.7% for serious adverse drug reactions (a term that excludes events associated with errors) in hospitals.4 Between 28% and 56% of adverse drug events are preventable. 3 5–7 Though the reasons this issue has received so little attention are complex, the reasons that medical injuries occur with some frequency are perhaps less so; medicine is more or less a cottage industry, with little standardisation and relatively few safeguards in comparison to, say, manufacturing. In fact, most of the systems in place in medicine were never formally designed, and this holds for the entire process of giving drugs. #### Summary points Although information technologies are widely used in hospitals, relatively few data are available regarding their impact on the safety of the process of giving drugs Exceptions are computerised physician order entry and computerised physician decision support, which have been found to improve drug safety Other innovations, including using robots to fill prescriptions, bar coding, automateddispensing devices, and computerisation of the medication administration record, though less studied, should all eventually reduce error rates The medication system of the future will include these and other technologies, all electronically linked Take, for example, the allergy detection process used in our hospital several years ago, which was similar to that used in most hospitals at the time. Physicians, medical students, and nurses all asked patients what their allergies were. This information was recorded at several sites in …
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Citations
Cites
Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention
Bates, D. W. (1995) · JAMA · doi:10.1001/jama.1995.03530010043033 · Cited by 2,127
Self-citationBates, D. W. (1998) · JAMA · doi:10.1001/jama.280.15.1311 · Cited by 2,107
Self-citationThe Impact of Computerized Physician Order Entry on Medication Error Prevention
Bates, D. W., Teich, J. M., Lee, J., Seger, D., Kuperman, G. J., Ma'Luf, N., Boyle, D., & Leape, L. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.00660313 · Cited by 1,260
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Cited by
Improving Safety with Information Technology
Bates, D. W., & Gawande, A. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020847 · Cited by 1,544
Self-citationReducing the Frequency of Errors in Medicine Using Information Technology
Bates, D. W., Cohen, M., Leape, L. L., Overhage, J. M., Shabot, M. M., & Sheridan, T. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080299 · Cited by 959
Self-citationKoppel, R., Wetterneck, T., Telles, J. L., & Karsh, B.-T. (2008) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2616 · Cited by 685
Adverse drug events occurring following hospital discharge
Forster, A. J., Murff, H. J., Peterson, J. F., Gandhi, T. K., & Bates, D. W. (2005) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2005.30390.x · Cited by 494
Self-citationFortescue, E. B., Kaushal, R., Landrigan, C. P., McKenna, K. J., Clapp, M. D., Federico, F., Goldmann, D. A., & Bates, D. W. (2003) · Pediatrics · doi:10.1542/peds.111.4.722 · Cited by 462
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Metadata
- Authors
- Bates, D. W.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2000-03-18
- Volume
- 320
- Issue
- 7237
- Pages
- 788-791
- ISSN
- 0959-8138 (ISSN-L)
- OpenAlex
- W2134352738
- Cited by
- 483
- References
- 3
- FWCI
- 39.33
- Type
- journal article
- Language
- en
- Open access
- green
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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.