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  5. The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales
 
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The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales
File(s)
1-s2.0-S2589750019300573-main.pdf (483.31 KB)
Published version
Author(s)
Martin, Guy
Ghafur, Saira
Cingolani, Isabella
Symons, Joshua
King, Dominic
more
Type
Journal Article
Abstract
Background

The use of health information technology (IT) is rapidly increasing to support improvements in the delivery of care. Although health IT is delivering huge benefits, new technology can also introduce unique risks. Despite these risks, evidence on the preventability and effects of health IT failures on patients is scarce. In our study we therefore sought to evaluate the preventability and effects of health IT failures by examining patient safety incidents in England and Wales.
Methods

We designed our study as a retrospective analysis of 10 years of incident reporting in England and Wales. We used text mining with the words “computer”, “system”, “workstation”, and “network” to explore free-text incident descriptors to identify incidents related to health IT failures following a previously described approach. We then applied an n-gram model of searching to identify contiguous sequences of words and provide spatial context. We examined incident details, recorded harm, and preventability. Standard descriptive statistics were applied. Degree of harm was identified according to standardised definitions and preventability was assessed by two independent reviewers.
Findings

We identified 2627 incidents related to health IT failures. 2557 (97%) of 2627 incidents were assessed for harm (70 incidents were excluded). 2106 (82%) of 2557 health IT failures caused no harm to patients, 331 (13%) caused low harm, 102 (4%) caused moderate harm, 14 (1%) caused severe harm, and four (<1%) contributed to the death of a patient. 1964 (75%) of 2627 incidents were deemed to be preventable.
Interpretation

Health IT is fundamental to the delivery of high-quality care, yet there is a poor understanding of the effects of IT failures on patient safety and whether they can be prevented. Failures are complex and involve interlinked aspects of technology, people, and the environment. Health IT failures are undoubtedly a potential source of substantial harm, but they are likely to be under-reported. Worryingly, three-quarters of IT failures are potentially preventable. There is a need to see health IT as a fundamental tenet of patient safety, develop better methods for capturing the effects of IT failures on patients, and adopt simple measures to reduce their probability and mitigate their risk.
Date Issued
2019-07-03
Date Acceptance
2019-05-10
Citation
The Lancet Digital Health, 2019, 1 (3), pp.e127-e135
URI
http://hdl.handle.net/10044/1/73963
URL
https://www.sciencedirect.com/science/article/pii/S2589750019300573?via%3Dihub
DOI
10.1016/s2589-7500(19)30057-3
ISSN
2589-7500
Publisher
Elsevier BV
Start Page
e127
End Page
e135
Journal / Book Title
The Lancet Digital Health
Volume
1
Issue
3
Copyright Statement
© 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/)
Sponsor
National Institute for Health Research
National Institute of Health Research
National Institute for Health Research
Identifier
https://www.sciencedirect.com/science/article/pii/S2589750019300573?via%3Dihub
Grant Number
n/a
NF SI 061710038
Subjects
Science & Technology
Life Sciences & Biomedicine
Medical Informatics
Medicine, General & Internal
General & Internal Medicine
ADVERSE EVENTS
RECORD USABILITY
ORDER ENTRY
SYSTEM
HOSPITALS
CARE
CLASSIFICATION
CHALLENGES
FRAMEWORK
DOWNTIME
Communication
Documentation
England
Equipment and Supplies
Humans
Medical Errors
Medical Informatics
Patient Safety
Quality of Health Care
Retrospective Studies
Risk Management
Wales
Humans
Retrospective Studies
Equipment and Supplies
Communication
Medical Informatics
Documentation
Medical Errors
Risk Management
Quality of Health Care
England
Wales
Patient Safety
Publication Status
Published
Date Publish Online
2019-06-27
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