| Autor: |
Guy Martin, PhD, Saira Ghafur, MSc, Isabella Cingolani, PhD, Joshua Symons, Dominic King, PhD, Sonal Arora, PhD, Ara Darzi, ProfPhD |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
The Lancet: Digital Health, Vol 1, Iss 3, Pp e127-e135 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2589-7500 |
| DOI: |
10.1016/S2589-7500(19)30057-3 |
| Popis: |
Summary: 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 ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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