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©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Crit Care Med. May 4, 2016; 5(2): 165-170
Published online May 4, 2016. doi: 10.5492/wjccm.v5.i2.165
Published online May 4, 2016. doi: 10.5492/wjccm.v5.i2.165
Automatic quality improvement reports in the intensive care unit: One step closer toward meaningful use
Mikhail A Dziadzko, Charat Thongprayoon, Adil Ahmed, Ing C Tiong, Man Li, Daniel R Brown, Brian W Pickering, Vitaly Herasevich, Multidisciplinary Epidemiology and Translational Research in Intensive Care, Mayo Clinic, Rochester, MN 55905, United States
Vitaly Herasevich, Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
Author contributions: All authors contributed to this manuscript.
Conflict-of-interest statement: The authors have no conflicts of interest to disclose related to this publication.
Data sharing statement: No additional data available.
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/
Correspondence to: Vitaly Herasevich, MD, PhD, Department of Anesthesiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, United States. herasevich.vitaly@mayo.edu
Telephone: +1-507-2554055 Fax: +1-507-2554267
Received: July 31, 2015
Peer-review started: July 31, 2015
First decision: October 13, 2015
Revised: October 27, 2015
Accepted: December 17, 2015
Article in press: December 18, 2015
Published online: May 4, 2016
Peer-review started: July 31, 2015
First decision: October 13, 2015
Revised: October 27, 2015
Accepted: December 17, 2015
Article in press: December 18, 2015
Published online: May 4, 2016
Core Tip
Core tip: Meaningful use of electronic healthcare records (EHRs) requires quality measures. Many administrative reporting tools provided by current EHRs are based on insufficiently accurate data and thus of limited use. We examine the feasibility and the validity of electronic generation of institutional key intensive care unit (ICU) quality metrics using ICU DataMart, a near-real time relational database.