Cited by 167Patient Safety and Medication ErrorsElectronic Health Records SystemsHealthcare Technology and Patient Monitoring

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index; none of the 34 sources its claims cite is checked for support yet.

An analysis of computer-related patient safety incidents to inform the development of a classification

Open access
Magrabi, Farah, Ong, Mei-Sing, Runciman, William, Coiera, Enrico·2010·Journal of the American Medical Informatics Association

Abstract

OBJECTIVE: To analyze patient safety incidents associated with computer use to develop the basis for a classification of problems reported by health professionals. DESIGN: Incidents submitted to a voluntary incident reporting database across one Australian state were retrieved and a subset (25%) was analyzed to identify 'natural categories' for classification. Two coders independently classified the remaining incidents into one or more categories. Free text descriptions were analyzed to identify contributing factors. Where available medical specialty, time of day and consequences were examined. MEASUREMENTS: Descriptive statistics; inter-rater reliability. RESULTS: A search of 42,616 incidents from 2003 to 2005 yielded 123 computer related incidents. After removing duplicate and unrelated incidents, 99 incidents describing 117 problems remained. A classification with 32 types of computer use problems was developed. Problems were grouped into information input (31%), transfer (20%), output (20%) and general technical (24%). Overall, 55% of problems were machine related and 45% were attributed to human-computer interaction. Delays in initiating and completing clinical tasks were a major consequence of machine related problems (70%) whereas rework was a major consequence of human-computer interaction problems (78%). While 38% (n=26) of the incidents were reported to have a noticeable consequence but no harm, 34% (n=23) had no noticeable consequence. CONCLUSION: Only 0.2% of all incidents reported were computer related. Further work is required to expand our classification using incident reports and other sources of information about healthcare IT problems. Evidence based user interface design must focus on the safe entry and retrieval of clinical information and support users in detecting and correcting errors and malfunctions.

Overview

Integrity signals

Registry

Crossref · 10.1136/jamia.2009.002444

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

49 Own result · 27 Not checked yet · 6 Own method · 6 Own interpretation · 5 No basis given

Verify all 34 references — free account

Show all 53 claims

  • It may state two separate claims as one. 29
  • Probably not a substantial claim. 15
40 of 40
  • The paper relies on this without support.

    The keyword-based free-text search strategy comprehensively identifies computer-related patient safety incidents in the AIMS database.

    “Free-text searches of incident description fields were conducted using a set of keywords generated by the investigators to describe computer hardware, software, or displays based upon knowledge of the clinical information systems deployed in the jurisdiction (box 1).”
  • The paper relies on this without support.

    The 25% subset of incidents used to develop natural categories is representative of the full set of computer-related incidents.

    “We examined the free-text descriptions of a quarter of the incidents retrieved (25% of 123) to identify 'natural categories' for classification.30”
  • The paper relies on this without support.

    This is the first study to examine computer-related patient safety incidents reported by health professionals to a state-wide system to develop categories for a classification.

    “This is the first study we are aware of which examines computer-related patient safety incidents reported by health professionals to a state-wide system in order to develop categories to provide the basis for a classification.”
  • The paper relies on this without support.

    Patient safety incidents associated with computer use have not been extensively investigated.

    “Patient safety incidents associated with computer use have not been extensively investigated.”
  • The paper relies on this without support.

    The types of error are finite in number and, when systematically identified and addressed, can lead to improvements in patient safety.

    “the types of error are finite in number and, when systematically identified and addressed, can lead to improvements in patient safety.”
  • The paper relies on this without support.

    Incident reports are useful for learning even when no actual harm resulted, when clinicians feel that there has been a near miss or that a catastrophic outcome could have resulted.

    “Incident reports are useful for learning even when no actual harm resulted, when clinicians feel that there has been a near miss or that a catastrophic outcome could have resulted.”
6 of 6

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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Research works printed but not linked: 1

  1. Australian Medication Safety Working Group. Towards the safer use of drugs and blood products in Australia. J Qual Clin Pract 1999;19:1–72.

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Metadata

Authors
Magrabi, F., Ong, M.-S., Runciman, W., & Coiera, E.
Affiliations
  • UNSW Sydney (AU)
  • University of South Australia (AU)
Corresponding author
Magrabi, Farah
Venue
Journal of the American Medical Informatics Association
Published
2010-11
Volume
17
Issue
6
Pages
663-670
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2127433315
Cited by
162
References
35
Citations by year
2026: 8 · 2025: 3 · 2024: 10 · 2023: 9 · 2022: 8 · 2021: 8 · 2020: 4 · 2019: 14 · 2018: 7 · 2017: 10 · 2016: 14 · 2015: 24 · 2014: 8 · 2013: 17 · 2012: 12
FWCI
16.58
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Medical Informatics Association (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
Funders
  • University of New South Wales
  • Australian Research Council (DP0772487, LP0775532)
  • National Health and Medical Research Council (568612)
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
incident classification, human-computer interaction, health information technology, medical information retrieval, user interface design, incident reporting, medical errors, rework, inter-rater reliability
MeSH terms
Australia, Computer Systems, Humans, Medical Informatics, Risk Management, User-Computer Interface, Information Storage and Retrieval, Medical Errors, Equipment Failure Analysis

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