Optimising electronic prescribing in hospitals: a scoping review protocol.

health care information systems medical informatics patient care record systems

Journal

BMJ health & care informatics
ISSN: 2632-1009
Titre abrégé: BMJ Health Care Inform
Pays: England
ID NLM: 101745500

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 06 11 2019
revised: 17 12 2019
accepted: 23 12 2019
entrez: 30 1 2020
pubmed: 30 1 2020
medline: 15 12 2020
Statut: ppublish

Résumé

Electronic prescribing (ePrescribing) systems can improve the quality of prescribing decisions and substantially reduce the risk of serious medication errors in hospitals. However, realising these benefits depends on ensuring that relevant sociotechnical considerations are addressed. Optimising ePrescribing systems is essential to maximise the associated benefits and minimise the accompanying risks of these large-scale and expensive health informatics infrastructures. We will undertake a systematic scoping review of the literature to identify strategies to achieve optimisation of ePrescribing systems. We will search Medline, Embase and CINAHL for the period 1 January 2010 to 1 June 2019 and the grey literature by using Google Scholar. Independent reviewers will screen the results using predefined inclusion and exclusion criteria and will extract data for narrative and thematic synthesis. This work will be published in a peer-reviewed journal and we will ensure that the findings are both accessible and interpretable to the public, academics, policymakers and National Health Service leaders.

Identifiants

pubmed: 31992634
pii: bmjhci-2019-100117
doi: 10.1136/bmjhci-2019-100117
pmc: PMC7062357
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Références

BMJ Qual Saf. 2018 Sep;27(9):725-736
pubmed: 29572298
BMC Med Res Methodol. 2018 Nov 19;18(1):143
pubmed: 30453902
J Am Med Inform Assoc. 2017 Jan;24(1):182-187
pubmed: 27107441
J Am Med Inform Assoc. 2017 Mar 1;24(2):268-274
pubmed: 27638908
Implement Sci. 2010 Sep 20;5:69
pubmed: 20854677
Ann Intern Med. 2006 May 16;144(10):742-52
pubmed: 16702590
PLoS Med. 2011 Jan 18;8(1):e1000387
pubmed: 21267058
PLoS One. 2014 Apr 01;9(4):e92516
pubmed: 24691517
J R Soc Med. 2014 Jan;107(1):8-13
pubmed: 24108534
J Am Med Inform Assoc. 2009 Sep-Oct;16(5):613-23
pubmed: 19567798
Inform Prim Care. 2009;17(1):1-4
pubmed: 19490767
Qual Quant. 2018;52(4):1893-1907
pubmed: 29937585
J Am Med Inform Assoc. 1994 Mar-Apr;1(2):108-23
pubmed: 7719793
JAMA. 1998 Oct 21;280(15):1311-6
pubmed: 9794308

Auteurs

Jac Williams (J)

The University of Edinburgh Usher Institute, Edinburgh, UK.

David W Bates (DW)

Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Aziz Sheikh (A)

The University of Edinburgh Usher Institute, Edinburgh, UK aziz.sheikh@ed.ac.uk.

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Classifications MeSH