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Computerization Can Create Safety Hazards: A Bar-Coding Near Miss
Abstract
Increasing numbers of hospitals are implementing bar-coding systems to prevent errors in patient identification. In the present case, a diabetic patient admitted to a teaching hospital was mistakenly given the bar-coded identification wristband of another patient who was admitted at the same time. When a laboratory result that documented the diabetic patient's severe hyperglycemia was entered into the other patient's electronic medical record, the latter patient seemed to have a very high glucose level and was almost given what could have been a fatal dose of insulin. This near miss shows that computer systems, although having the potential to improve safety, may create new kinds of errors if not accompanied by well-designed, well-implemented cross-check processes and a culture of safety. Moreover, computer systems may have the pernicious effect of weakening human vigilance, removing an important safety protection. Researchers should continue to study real-world implementation of computerized systems to understand their benefits and potential harms, and administrators and providers should seek ways to anticipate these harms and mitigate them.
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“rounded CPOE ordering errors, particularly relating to drugs or diagnostic tests. 2-4”
From "e-Iatrogenesis": The Most Critical Unintended Consequence of CPOE and other HIT (2007) · cites this paper as [4]
In the citing paper
“In those organizations, including those of the authors, clinicians regard easy access to test results, clinician observations, clinical-decision support, and e-messaging as vital to care quality and patient safety.”
From EHR Safety: The Way Forward to Safe and Effective Systems (2008) · cites this paper as [1]
In the citing paper
“Although the benefits of well-managed EHRs may seem obvious and are likely substantial, the overall safety and effectiveness of EHRs have not been shown.1,2”
From EHR Safety: The Way Forward to Safe and Effective Systems (2008) · cites this paper as [1]
In the citing paper
“Complicating matters, the health care literature documents the potential of EHRs to contribute to safety incidents and patient harm.1,23,30 -33”
From EHR Safety: The Way Forward to Safe and Effective Systems (2008) · cites this paper as [1]
Citations
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References 39 · Cited by 146
Research works printed but not linked: 6
- Grannis SJ, 2002, Proc AMIA Symp, 305
- Larrabee S, 2003, Jt Comm J Qual Saf, 29, 345
- 2005, MMWR Morb Mortal Wkly Rep, 33
- Levick D, 2005, JAMA, 294, 179
- 10.1001/jama.1993.03500030077036 · DOI
- McDonald CJ, 1986, MD Computing, 3, 8
Metadata
- Authors
- McDonald, C. J.
- Affiliations
- Regenstrief Institute (US)
- Corresponding author
- McDonald, Clement J.
- ORCID
- McDonald, Clement J.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2006-04-04
- Volume
- 144
- Issue
- 7
- Pages
- 510-516
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2039229720
- Cited by
- 146
- References
- 39
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 4 · 2019: 6 · 2018: 3 · 2017: 5 · 2016: 6 · 2015: 7 · 2014: 15 · 2013: 4 · 2012: 9
- FWCI
- 24.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- UCLA - Biblioteca de Ciencias de la Salud (submittedVersion)
- Funders
- U.S. National Library of Medicine (G08LM008232)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Keywords
- barcoding, patient identification errors, near misses, electronic health records, computerized systems, patient safety, safety culture, insulin dosing errors, hyperglycemia, diabetes mellitus
- MeSH terms
- Aged, 80 and over, Electronic Data Processing, Patient Care, Hospitals, Teaching, Humans, Male, Medication Errors, Patient Identification Systems, United States, Medical Records Systems, Computerized
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