Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36135
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Optimizing Hospital Electronic Prescribing Systems: A Systematic Scoping Review
Author(s): Williams, Jac
Malden, Stephen
Heeney, Catherine
Bouamrane, Matt
Holder, Mike
Perera, Uditha
Bates, David W
Sheikh, Aziz
Contact Email: matt-mouley.bouamrane@stir.ac.uk
Keywords: patient safety
quality
efficiency
ePrescribing
health IT
medicines management
Issue Date: Mar-2022
Date Deposited: 19-Jul-2024
Citation: Williams 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.0000000000000867
Abstract: Objective: 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.
DOI Link: 10.1097/pts.0000000000000867
Rights: This 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.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
optimizing_hospital_electronic_prescribing.36.pdfFulltext - Published Version764 kBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.