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Copyright ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Crit Care Med. Nov 4, 2016; 5(4): 204-211
Published online Nov 4, 2016. doi: 10.5492/wjccm.v5.i4.204
Clinical decision support for drug related events: Moving towards better prevention
Sandra L Kane-Gill, Archita Achanta, John A Kellum, Steven M Handler
Sandra L Kane-Gill, Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261, United States
Sandra L Kane-Gill, Department of Pharmacy, UPMC, Pittsburgh, PA 15213, United States
Archita Achanta, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261, United States
John A Kellum, Center for Critical Care Nephrology, UPMC and University of Pittsburgh, Pittsburgh, PA 15213, United States
John A Kellum, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States
Steven M Handler, Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States
Author contributions: Kane-Gill SL and Achanta A wrote the manuscript; Kellum JA and Handler SM provided intellectual contribution to the content and made critical revisions; all authors reviewed and approved the final version of the manuscript.
Supported by The Agency for Healthcare Research and Quality, No. R18HS02420-01.
Conflict-of-interest statement: Sandra L Kane-Gill and Archita Achanta has no conflicts of interest to disclose; John A Kellum has received consulting fees and/or grant support from Astute Medical and Premier; Steven M Handler receives support as the Chief Medical and Scientific Officer for Curavi Health Inc.
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: Sandra L Kane-Gill, PharmD, MSc, FCCM, FCCP, Associate Professor, Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, 918 Salk Hall, 3501 Terrace St., Pittsburgh, PA 15261, United States. slk54@pitt.edu
Telephone: +1-412-6245150 Fax: +1-412-6241850
Received: July 19, 2016
Peer-review started: July 21, 2016
First decision: September 5, 2016
Revised: September 17, 2016
Accepted: October 17, 2016
Article in press: October 18, 2016
Published online: November 4, 2016
Processing time: 106 Days and 15 Hours
Core Tip

Core tip: Drug related events in the intensive care unit are associated with higher medical costs and dire patient outcomes. Clinical decision support (CDS) systems are the most important component to aid in adverse drug event (ADE) surveillance and improve in medication safety. Institutions are increasing the use of CDS systems for event detection and CDS systems that combine patient factors with laboratory values, drug information and biomarkers are key to effective ADE prevention.