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The impact of transition to a digital hospital on medication errors (TIME study)
Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368717/ https://www.ncbi.nlm.nih.gov/pubmed/37491469 http://dx.doi.org/10.1038/s41746-023-00877-w |
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author | Engstrom, Teyl McCourt, Elizabeth Canning, Martin Dekker, Katharine Voussoughi, Panteha Bennett, Oliver North, Angela Pole, Jason D. Donovan, Peter J. Sullivan, Clair |
author_facet | Engstrom, Teyl McCourt, Elizabeth Canning, Martin Dekker, Katharine Voussoughi, Panteha Bennett, Oliver North, Angela Pole, Jason D. Donovan, Peter J. Sullivan, Clair |
author_sort | Engstrom, Teyl |
collection | PubMed |
description | Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of complete digital transformation on medication safety. Here we discuss the impact of transition from a paper-based to digital hospital on voluntarily reported medication incidents and prescribing errors. This study utilises an interrupted time-series design and takes place across two wards as they transition from a paper to a digital hospital. Two data sources are used to assess impacts on medication incidents and prescribing errors: (1) voluntarily reported medication incidents and 2) a chart audit of medications prescribed on the study wards. The chart audit collects data on procedural, dosing and therapeutic prescribing errors. There are 588 errors extracted from incident reporting software during the study period. The average monthly number of errors reduces from 12.5 pre- to 7.5 post-transition (p < 0.001). In the chart audit, 5072 medication orders are reviewed pre-transition and 3699 reviewed post-transition. The rates of orders with one or more error reduces significantly after transition (52.8% pre- vs. 15.7% post-, p < 0.001). There are significant reductions in procedural (32.1% pre- vs. 1.3% post-, p < 0.001), and dosing errors (32.3% pre- vs. 14% post-, p < 0.001), but not therapeutic errors (0.6% pre- vs. 0.7% post-, p = 0.478). Transition to a digital hospital is associated with reductions in voluntarily reported medication incidents and prescribing errors. |
format | Online Article Text |
id | pubmed-10368717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103687172023-07-27 The impact of transition to a digital hospital on medication errors (TIME study) Engstrom, Teyl McCourt, Elizabeth Canning, Martin Dekker, Katharine Voussoughi, Panteha Bennett, Oliver North, Angela Pole, Jason D. Donovan, Peter J. Sullivan, Clair NPJ Digit Med Article Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of complete digital transformation on medication safety. Here we discuss the impact of transition from a paper-based to digital hospital on voluntarily reported medication incidents and prescribing errors. This study utilises an interrupted time-series design and takes place across two wards as they transition from a paper to a digital hospital. Two data sources are used to assess impacts on medication incidents and prescribing errors: (1) voluntarily reported medication incidents and 2) a chart audit of medications prescribed on the study wards. The chart audit collects data on procedural, dosing and therapeutic prescribing errors. There are 588 errors extracted from incident reporting software during the study period. The average monthly number of errors reduces from 12.5 pre- to 7.5 post-transition (p < 0.001). In the chart audit, 5072 medication orders are reviewed pre-transition and 3699 reviewed post-transition. The rates of orders with one or more error reduces significantly after transition (52.8% pre- vs. 15.7% post-, p < 0.001). There are significant reductions in procedural (32.1% pre- vs. 1.3% post-, p < 0.001), and dosing errors (32.3% pre- vs. 14% post-, p < 0.001), but not therapeutic errors (0.6% pre- vs. 0.7% post-, p = 0.478). Transition to a digital hospital is associated with reductions in voluntarily reported medication incidents and prescribing errors. Nature Publishing Group UK 2023-07-25 /pmc/articles/PMC10368717/ /pubmed/37491469 http://dx.doi.org/10.1038/s41746-023-00877-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Engstrom, Teyl McCourt, Elizabeth Canning, Martin Dekker, Katharine Voussoughi, Panteha Bennett, Oliver North, Angela Pole, Jason D. Donovan, Peter J. Sullivan, Clair The impact of transition to a digital hospital on medication errors (TIME study) |
title | The impact of transition to a digital hospital on medication errors (TIME study) |
title_full | The impact of transition to a digital hospital on medication errors (TIME study) |
title_fullStr | The impact of transition to a digital hospital on medication errors (TIME study) |
title_full_unstemmed | The impact of transition to a digital hospital on medication errors (TIME study) |
title_short | The impact of transition to a digital hospital on medication errors (TIME study) |
title_sort | impact of transition to a digital hospital on medication errors (time study) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368717/ https://www.ncbi.nlm.nih.gov/pubmed/37491469 http://dx.doi.org/10.1038/s41746-023-00877-w |
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