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Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems

INTRODUCTION: Electronic prescribing (ePrescribing) is a key area of development and investment in the UK and across the developed world. ePrescribing is widely understood as a vehicle for tackling medication-related safety concerns, improving care quality and making more efficient use of health res...

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Autores principales: Heeney, Catherine, Malden, Stephen, Sheikh, Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812111/
https://www.ncbi.nlm.nih.gov/pubmed/33441366
http://dx.doi.org/10.1136/bmjopen-2020-044622
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author Heeney, Catherine
Malden, Stephen
Sheikh, Aziz
author_facet Heeney, Catherine
Malden, Stephen
Sheikh, Aziz
author_sort Heeney, Catherine
collection PubMed
description INTRODUCTION: Electronic prescribing (ePrescribing) is a key area of development and investment in the UK and across the developed world. ePrescribing is widely understood as a vehicle for tackling medication-related safety concerns, improving care quality and making more efficient use of health resources. Nevertheless, implementation of an electronic health record does not itself ensure benefits for prescribing are maximised. We examine the process of optimisation of ePrescribing systems using case studies to provide policy recommendations based on the experiences of digitally mature hospital sites. METHODS AND ANALYSIS: Qualitative interviews within six digitally mature sites will be carried out. The aim is to capture successful optimisation of electronic prescribing (ePrescribing) in particular health systems and hospitals. We have identified hospital sites in the UK and in three other developed countries. We used a combination of literature reviews and advice from experts at Optimising ePrescribing in Hospitals (eP Opt) Project round-table events. Sites were purposively selected based on geographical area, innovative work in ePrescribing/electronic health (eHealth) and potential transferability of practices to the UK setting. Interviews will be recorded and transcribed and transcripts coded thematically using NVivo software. Relevant policy and governance documents will be analysed, where available. Planned site visits were suspended due to the COVID-19 pandemic. ETHICS AND DISSEMINATION: The Usher Research Ethics Group granted approval for this study. Results will be disseminated via peer-reviewed journals in medical informatics and expert round-table events, lay member meetings and the ePrescribing Toolkit (http://www.eprescribingtoolkit.com/)—an online resource supporting National Health Service (NHS) hospitals through the ePrescribing process.
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spelling pubmed-78121112021-01-25 Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems Heeney, Catherine Malden, Stephen Sheikh, Aziz BMJ Open Health Informatics INTRODUCTION: Electronic prescribing (ePrescribing) is a key area of development and investment in the UK and across the developed world. ePrescribing is widely understood as a vehicle for tackling medication-related safety concerns, improving care quality and making more efficient use of health resources. Nevertheless, implementation of an electronic health record does not itself ensure benefits for prescribing are maximised. We examine the process of optimisation of ePrescribing systems using case studies to provide policy recommendations based on the experiences of digitally mature hospital sites. METHODS AND ANALYSIS: Qualitative interviews within six digitally mature sites will be carried out. The aim is to capture successful optimisation of electronic prescribing (ePrescribing) in particular health systems and hospitals. We have identified hospital sites in the UK and in three other developed countries. We used a combination of literature reviews and advice from experts at Optimising ePrescribing in Hospitals (eP Opt) Project round-table events. Sites were purposively selected based on geographical area, innovative work in ePrescribing/electronic health (eHealth) and potential transferability of practices to the UK setting. Interviews will be recorded and transcribed and transcripts coded thematically using NVivo software. Relevant policy and governance documents will be analysed, where available. Planned site visits were suspended due to the COVID-19 pandemic. ETHICS AND DISSEMINATION: The Usher Research Ethics Group granted approval for this study. Results will be disseminated via peer-reviewed journals in medical informatics and expert round-table events, lay member meetings and the ePrescribing Toolkit (http://www.eprescribingtoolkit.com/)—an online resource supporting National Health Service (NHS) hospitals through the ePrescribing process. BMJ Publishing Group 2021-01-13 /pmc/articles/PMC7812111/ /pubmed/33441366 http://dx.doi.org/10.1136/bmjopen-2020-044622 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Informatics
Heeney, Catherine
Malden, Stephen
Sheikh, Aziz
Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems
title Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems
title_full Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems
title_fullStr Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems
title_full_unstemmed Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems
title_short Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems
title_sort protocol for a qualitative study to identify strategies to optimise hospital eprescribing systems
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812111/
https://www.ncbi.nlm.nih.gov/pubmed/33441366
http://dx.doi.org/10.1136/bmjopen-2020-044622
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