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This article has Open Peer Review reports available.

How does Open Peer Review work?

The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis

  • Teryl K Nuckols1, 2Email author,
  • Crystal Smith-Spangler3, 4,
  • Sally C Morton5,
  • Steven M Asch3, 4, 2,
  • Vaspaan M Patel6, 7,
  • Laura J Anderson7,
  • Emily L Deichsel7 and
  • Paul G Shekelle1, 2, 8
Systematic Reviews20143:56

https://doi.org/10.1186/2046-4053-3-56

Received: 19 December 2013

Accepted: 29 April 2014

Published: 4 June 2014

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Open Peer Review reports

Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
19 Dec 2013 Submitted Original manuscript
24 Dec 2013 Author responded Author comments - Teryl Nuckols
Resubmission - Version 2
24 Dec 2013 Submitted Manuscript version 2
22 Jan 2014 Reviewed Reviewer Report - Jennifer Bellis
21 Feb 2014 Reviewed Reviewer Report - Elizabeth Conroy
18 Mar 2014 Author responded Author comments - Teryl Nuckols
Resubmission - Version 3
18 Mar 2014 Submitted Manuscript version 3
Resubmission - Version 4
Submitted Manuscript version 4
24 Mar 2014 Reviewed Reviewer Report - Jennifer Bellis
14 Apr 2014 Reviewed Reviewer Report - Elizabeth Conroy
22 Apr 2014 Author responded Author comments - Teryl Nuckols
Resubmission - Version 5
22 Apr 2014 Submitted Manuscript version 5
Publishing
29 Apr 2014 Editorially accepted
4 Jun 2014 Article published 10.1186/2046-4053-3-56

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting info@biomedcentral.com.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles, USA
(2)
RAND Corporation, Santa Monica, USA
(3)
VA Palo Alto Health Care System, Menlo Park, USA
(4)
Stanford University, Palo Alto, USA
(5)
Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, USA
(6)
NCQA, Washington, USA
(7)
UCLA Jonathan and Karin Fielding School of Public Health, Los Angeles, USA
(8)
VA Greater Los Angeles Healthcare System, Los Angeles, USA

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