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Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study

  • Pavel S Roshanov1,
  • Hertzel C Gerstein2, 3,
  • Dereck L Hunt2, 3,
  • Rolf J Sebaldt2 and
  • R Brian Haynes2, 3, 4Email author
BMC Medical Informatics and Decision Making201212:63

DOI: 10.1186/1472-6947-12-63

Received: 15 January 2012

Accepted: 7 July 2012

Published: 7 July 2012

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
15 Jan 2012 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
15 Jan 2012 Author responded Author comments - Pavel Roshanov
Resubmission - Version 3
15 Jan 2012 Submitted Manuscript version 3
5 May 2012 Reviewed Reviewer Report - Stefano Zucchini
7 May 2012 Reviewed Reviewer Report - Charles MacLean
22 Jun 2012 Author responded Author comments - Pavel Roshanov
Resubmission - Version 4
22 Jun 2012 Submitted Manuscript version 4
27 Jun 2012 Reviewed Reviewer Report - Charles MacLean
Resubmission - Version 5
Submitted Manuscript version 5
Publishing
7 Jul 2012 Editorially accepted
7 Jul 2012 Article published 10.1186/1472-6947-12-63

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 and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

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

Authors’ Affiliations

(1)
Schulich School of Medicine and Dentistry, The University of Western Ontario
(2)
Department of Medicine, McMaster University
(3)
Hamilton Health Sciences
(4)
Health Information Research Unit, Department of Clinical Epidemiology and Biostatistics, McMaster University, 125 Communications Research Laboratory

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