Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36164
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dc.contributor.authorHeeney, Catherineen_UK
dc.contributor.authorBouamrane, Matten_UK
dc.contributor.authorMalden, Stephenen_UK
dc.contributor.authorCresswell, Kathrinen_UK
dc.contributor.authorWilliams, Robinen_UK
dc.contributor.authorSheikh, Azizen_UK
dc.date.accessioned2024-08-06T00:05:11Z-
dc.date.available2024-08-06T00:05:11Z-
dc.date.issued2023-10-11en_UK
dc.identifier.other211en_UK
dc.identifier.urihttp://hdl.handle.net/1893/36164-
dc.description.abstractBackground: Investment in the implementation of hospital ePrescribing systems has been a priority in many economically-developed countries in order to modernise the delivery of healthcare. However, maximum gains in the safety, quality and efficiency of care are unlikely to be fully realised unless ePrescribing systems are further optimised in a local context. Typical barriers to optimal use are often encountered in relation to a lack of systemic capacity and preparedness to meet various levels of interoperability requirements, including at the data, systems and services levels. This lack of systemic interoperability may in turn limit the opportunities and benefits potentially arising from implementing novel digital heath systems. Methods: We undertook n = 54 qualitative interviews with key stakeholders at nine digitally advanced hospital sites across the UK, US, Norway and the Netherlands. We included hospitals featuring ‘standalone, best of breed’ systems, which were interfaced locally, and multi-component and integrated electronic health record enterprise systems. We analysed the data inductively, looking at strategies and constraints for ePrescribing interoperability within and beyond hospital systems. Results: Our thematic analysis identified 4 main drivers for increasing ePrescribing systems interoperability: (1) improving patient safety (2) improving integration & continuity of care (3) optimising care pathways and providing tailored decision support to meet local and contextualised care priorities and (4) to enable full patient care services interoperability in a variety of settings and contexts. These 4 interoperability dimensions were not always pursued equally at each implementation site, and these were often dependent on the specific national, policy, organisational or technical contexts of the ePrescribing implementations. Safety and efficiency objectives drove optimisation targeted at infrastructure and governance at all levels. Constraints to interoperability came from factors such as legacy systems, but barriers to interoperability of processes came from system capability, hospital policy and staff culture. Conclusions: Achieving interoperability is key in making ePrescribing systems both safe and useable. Data resources exist at macro, meso and micro levels, as do the governance interventions necessary to achieve system interoperability. Strategic objectives, most notably improved safety, often motivated hospitals to push for evolution across the entire data architecture of which they formed a part. However, hospitals negotiated this terrain with varying degrees of centralised coordination. Hospitals were heavily reliant on staff buy-in to ensure that systems interoperability was built upon to achieve effective data sharing and use. Positive outcomes were founded on a culture of agreement about the usefulness of access by stakeholders, including prescribers, policymakers, vendors and lab technicians, which was reflected in an alignment of governance goals with system design.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationHeeney C, Bouamrane M, Malden S, Cresswell K, Williams R & Sheikh A (2023) Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands. <i>BMC Medical Informatics and Decision Making</i>, 23, Art. No.: 211. https://doi.org/10.1186/s12911-023-02316-yen_UK
dc.rightsThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectePrescribingen_UK
dc.subjectInteroperabilityen_UK
dc.subjectIntegrated systemen_UK
dc.subjectData resourcesen_UK
dc.subjectInfrastructureen_UK
dc.subjectElectronic health systemsen_UK
dc.titleOptimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlandsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1186/s12911-023-02316-yen_UK
dc.identifier.pmid37821881en_UK
dc.citation.jtitleBMC Medical Informatics and Decision Makingen_UK
dc.citation.issn1472-6947en_UK
dc.citation.volume23en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNational Institute for Health Researchen_UK
dc.contributor.funderUniversity of Edinburghen_UK
dc.author.emailmatt-mouley.bouamrane@stir.ac.uken_UK
dc.citation.date11/10/2023en_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.identifier.isiWOS:001145612000001en_UK
dc.identifier.scopusid2-s2.0-85173848546en_UK
dc.identifier.wtid2026544en_UK
dc.date.accepted2023-09-29en_UK
dcterms.dateAccepted2023-09-29en_UK
dc.date.filedepositdate2024-07-29en_UK
dc.subject.tagTelecare and e-Healthen_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorHeeney, Catherine|en_UK
local.rioxx.authorBouamrane, Matt|en_UK
local.rioxx.authorMalden, Stephen|en_UK
local.rioxx.authorCresswell, Kathrin|en_UK
local.rioxx.authorWilliams, Robin|en_UK
local.rioxx.authorSheikh, Aziz|en_UK
local.rioxx.projectProject ID unknown|National Institute for Health Research|http://dx.doi.org/10.13039/501100000272en_UK
local.rioxx.projectProject ID unknown|University of Edinburgh|http://dx.doi.org/10.13039/501100000848en_UK
local.rioxx.freetoreaddate2024-07-29en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2024-07-29|en_UK
local.rioxx.filenameHeeney et al 2023.pdfen_UK
local.rioxx.filecount1en_UK
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