Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36135
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dc.contributor.authorWilliams, Jacen_UK
dc.contributor.authorMalden, Stephenen_UK
dc.contributor.authorHeeney, Catherineen_UK
dc.contributor.authorBouamrane, Matten_UK
dc.contributor.authorHolder, Mikeen_UK
dc.contributor.authorPerera, Udithaen_UK
dc.contributor.authorBates, David Wen_UK
dc.contributor.authorSheikh, Azizen_UK
dc.date.accessioned2024-07-27T00:00:52Z-
dc.date.available2024-07-27T00:00:52Z-
dc.date.issued2022-03en_UK
dc.identifier.urihttp://hdl.handle.net/1893/36135-
dc.description.abstractObjective: Considerable international investment in hospital electronic prescribing (ePrescribing) systems has been made, but despite this, it is proving difficult for most organizations to realize safety, quality, and efficiency gains in prescribing. The objective of this work was to develop policy-relevant insights into the optimization of hospital ePrescribing systems to maximize the benefits and minimize the risks of these expensive digital health infrastructures. Methods: We undertook a systematic scoping review of the literature by searching MEDLINE, Embase, and CINAHL databases. We searched for primary studies reporting on ePrescribing optimization strategies and independently screened and abstracted data until saturation was achieved. Findings were theoretically and thematically synthesized taking a medicine life-cycle perspective, incorporating consultative phases with domain experts. Results: We identified 23,609 potentially eligible studies from which 1367 satisfied our inclusion criteria. Thematic synthesis was conducted on a data set of 76 studies, of which 48 were based in the United States. Key approaches to optimization included the following: stakeholder engagement, system or process redesign, technological innovations, and education and training packages. Single-component interventions (n = 26) described technological optimization strategies focusing on a single, specific step in the prescribing process. Multicomponent interventions (n = 50) used a combination of optimization strategies, typically targeting multiple steps in the medicines management process. Discussion: We identified numerous optimization strategies for enhancing the performance of ePrescribing systems. Key considerations for ePrescribing optimization include meaningful stakeholder engagement to reconceptualize the service delivery model and implementing technological innovations with supporting training packages to simultaneously impact on different facets of the medicines management process.en_UK
dc.language.isoenen_UK
dc.publisherOvid Technologies (Wolters Kluwer Health)en_UK
dc.relationWilliams J, Malden S, Heeney C, Bouamrane M, Holder M, Perera U, Bates DW & Sheikh A (2022) Optimizing Hospital Electronic Prescribing Systems: A Systematic Scoping Review. <i>Journal of Patient Safety</i>, 18 (2), pp. e547-e562. https://doi.org/10.1097/pts.0000000000000867en_UK
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectpatient safetyen_UK
dc.subjectqualityen_UK
dc.subjectefficiencyen_UK
dc.subjectePrescribingen_UK
dc.subjecthealth ITen_UK
dc.subjectmedicines managementen_UK
dc.titleOptimizing Hospital Electronic Prescribing Systems: A Systematic Scoping Reviewen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1097/pts.0000000000000867en_UK
dc.identifier.pmid35188939en_UK
dc.citation.jtitleJournal of Patient Safetyen_UK
dc.citation.issn1549-8417en_UK
dc.citation.issn1549-8417en_UK
dc.citation.volume18en_UK
dc.citation.issue2en_UK
dc.citation.spagee547en_UK
dc.citation.epagee562en_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.author.emailmatt-mouley.bouamrane@stir.ac.uken_UK
dc.citation.date14/05/2021en_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.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationBrigham and Women's Hospitalen_UK
dc.contributor.affiliationUniversity of Oxforden_UK
dc.identifier.isiWOS:000758370800036en_UK
dc.identifier.scopusid2-s2.0-85125212042en_UK
dc.identifier.wtid2026784en_UK
dc.date.accepted2021-04-16en_UK
dcterms.dateAccepted2021-04-16en_UK
dc.date.filedepositdate2024-07-19en_UK
dc.subject.tagTelecare and e-Healthen_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorWilliams, Jac|en_UK
local.rioxx.authorMalden, Stephen|en_UK
local.rioxx.authorHeeney, Catherine|en_UK
local.rioxx.authorBouamrane, Matt|en_UK
local.rioxx.authorHolder, Mike|en_UK
local.rioxx.authorPerera, Uditha|en_UK
local.rioxx.authorBates, David W|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.freetoreaddate2024-07-19en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2024-07-19|en_UK
local.rioxx.filenameoptimizing_hospital_electronic_prescribing.36.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1549-8417en_UK
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