Kane-Gill SL, Achanta A, Kellum JA, Handler SM. Clinical decision support for drug related events: Moving towards better prevention. World J Crit Care Med 2016; 5(4): 204-211 [PMID: 27896144 DOI: 10.5492/wjccm.v5.i4.204]
Corresponding Author of This Article
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
Research Domain of This Article
Critical Care Medicine
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
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/
“Any preventable event that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the health care professional, patient or consumer. This may include errors in prescribing, distribution, administration and monitoring”
“Is the antecedent to injury or the temporal gap between the identification of an adverse drug reaction and the drug induced injury”. It occurs in the presence or absence of a medication error
“Medication errors with the potential to cause harm, but harm does not actually occur. Potential ADEs can be further described as intercepted and non-intercepted”
ACE inhibitor/ARB and patient’s serum potassium is > 6 mmol/L INR > 4 and on warfarin Blood glucose < 40 mg/dL and on antidiabetic agent Platelet count < 50000/mm3 and on a drug that causes thrombocytopenia
Before DRHC occurs-eventually digoxin level elevated
Dysrhythmia, confusion
Patient with 3 consecutive increasing serum creatinine levels and also on digoxin therapy (or other renally cleared drugs would apply such as metformin, enoxaparin, vancomycin)
2 consecutive decreases in platelets with ≥ 25% difference between the third most recent and the most recent platelet count
Table 5 Summary of proposed approaches to developing clinical decision support to prevent adverse drug events
Proposed approach
Description
Trajectory analysis
Identify laboratory values as they are on the incline or decline before they reach a critical value
Biomarkers
Use biomarkers that identify patients at risk for organ damage
Drug combinations
Generate alerts for drug combinations that place the patient at risk for drug-induced injury
Drug induced physiologic events
Add alerts for possible drug induced alterations in physiologic parameters to clinical decision support
Predictive analytics and forecasting models
Develop models that predict possible drug induced injury based on risk factors and use this information for advanced alerts using machine learning for adaptive response
Citation: Kane-Gill SL, Achanta A, Kellum JA, Handler SM. Clinical decision support for drug related events: Moving towards better prevention. World J Crit Care Med 2016; 5(4): 204-211