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Articles Published Processes
8/2/2017 8:20:05 AM | Browse: 668 | Download: 1028
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Received |
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2017-02-17 09:05 |
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Peer-Review Started |
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2017-02-17 17:46 |
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To Make the First Decision |
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2017-04-14 10:33 |
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Return for Revision |
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2017-04-20 09:12 |
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Revised |
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2017-05-02 21:11 |
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Second Decision |
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2017-05-07 11:48 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2017-05-15 05:53 |
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Articles in Press |
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2017-05-15 05:53 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2017-07-26 07:16 |
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Publish the Manuscript Online |
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2017-08-02 08:20 |
ISSN |
2220-3141(online) |
Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Authors 2017. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Critical Care Medicine |
Manuscript Type |
Evidence-Based Medicine |
Article Title |
Algorithm-based arterial blood sampling recognition increasing safety in point-of-care diagnostics
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Manuscript Source |
Invited Manuscript |
All Author List |
Jörg Peter, Wilfried Klingert, Kathrin Klingert, Karolin Thiel, Daniel Wulff, Alfred Königsrainer, Wolfgang Rosenstiel and Martin Schenk |
Funding Agency and Grant Number |
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Corresponding Author |
Dr. Martin Schenk, Department of General, Visceral and Transplant Surgery, University Hospital Tübingen, Paul-Ehrlich-Straße 36, 72076 Tübingen, Germany. martin.schenk@med.uni-tuebingen.de |
Key Words |
Blood withdrawal detection; Sample dating algorithm; Arterial blood gas analysis; Patient monitoring; Point-of-care diagnostics |
Core Tip |
Blood samplings for point-of-care analysis are essential procedures performed in large quantities in hospital wards every day. Whereas many guidelines and good practices exist, human error may still occur and additional safeguards are needed to avoid mix-ups. Using data from arterial blood pressure monitoring, which regularly is present in critical patients for whom errors would be most severe, different features, even the absence of information, may be used for analysis. We developed a novel approach accounting for lack of data in arterial blood pressure monitoring to determine the exact time of blood withdrawal for better sample dating and patient identification. |
Publish Date |
2017-08-02 08:20 |
Citation |
Peter J, Klingert W, Klingert K, Thiel K, Wulff D, Königsrainer A, Rosenstiel W, Schenk M. Algorithm-based arterial blood sampling recognition increasing safety in point-of-care diagnostics. World J Crit Care Med 2017; 6(3): 172-178 |
URL |
http://www.wjgnet.com/2220-3141/full/v6/i3/172.htm |
DOI |
http://dx.doi.org/10.5492/wjccm.v6.i3.172 |
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