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Cited by in CrossRef
For: 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]
URL: https://www.wjgnet.com/2220-3141/full/v5/i4/204.htm
Number Citing Articles
1
Caroline E. Stephens, Elizabeth Halifax, Daniel David, Nhat Bui, Sei J. Lee, Janet Shim, Christine S. Ritchie. “They Don’t Trust Us”: The Influence of Perceptions of Inadequate Nursing Home Care on Emergency Department Transfers and the Potential Role for TelehealthClinical Nursing Research 2020; 29(3): 157 doi: 10.1177/1054773819835015
2
Siobhán McGettigan, Denis Curtin, Denis O’Mahony. Adverse Drug Reactions in Multimorbid Older People Exposed to Polypharmacy: Epidemiology and PreventionPharmacoepidemiology 2024; 3(2): 208 doi: 10.3390/pharma3020013
3
Kenneth H. Carver, L. Hayley Burgess, Mandelin Cooper, Ty Elders, Joan Kramer. Use of clinical decision support to identify i.v.-to-oral conversion opportunities and cost savingsAmerican Journal of Health-System Pharmacy 2018; 75(23_Supplement_4): S82 doi: 10.2146/ajhp170405
4
Rebecca A. Greene, Andrew R. Zullo, Craig M. Mailloux, Christine Berard-Collins, Mitchell M. Levy, Timothy Amass. Effect of Best Practice Advisories on Sedation Protocol Compliance and Drug-Related Hazardous Condition Mitigation Among Critical Care Patients*Critical Care Medicine 2020; 48(2): 185 doi: 10.1097/CCM.0000000000004116
5
Ramzi Shawahna. Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus studyBMC Medical Informatics and Decision Making 2019; 19(1) doi: 10.1186/s12911-019-0928-3
6
Yan Li, Xitong Guo, Carol Hsu, Xiaoxiao Liu, Doug Vogel. Exploring the Impact of the Prescription Automatic Screening System in Health Care Services: Quasi-ExperimentJMIR Medical Informatics 2019; 7(2): e11663 doi: 10.2196/11663
7
Laurine Robert, Elodie Cuvelier, Chloé Rousselière, Sophie Gautier, Pascal Odou, Jean-Baptiste Beuscart, Bertrand Décaudin. Detection of Drug-Related Problems through a Clinical Decision Support System Used by a Clinical Pharmacy TeamHealthcare 2023; 11(6): 827 doi: 10.3390/healthcare11060827
8
Thomas Brox Røst, Carolyn Clausen, Øystein Nytrø, Roman Koposov, Bennett Leventhal, Odd Sverre Westbye, Victoria Bakken, Linda Helen Knudsen Flygel, Kaban Koochakpour, Norbert Skokauskas. Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health ServicesFrontiers in Psychiatry 2020; 11 doi: 10.3389/fpsyt.2020.564205
9
Mina Younan, Mohamed Elhoseny, Abd El-Mageid A. Ali, Essam H. Houssein. Data Reduction Model for Balancing Indexing and Securing Resources in the Internet-of-Things ApplicationsIEEE Internet of Things Journal 2021; 8(7): 5953 doi: 10.1109/JIOT.2020.3035248
10
Yan Li, Benjamin Staley, Carl Henriksen, Dandan Xu, Gloria Lipori, Almut G Winterstein. Development and validation of a dynamic inpatient risk prediction model for clinically significant hypokalemia using electronic health record dataAmerican Journal of Health-System Pharmacy 2019; 76(5): 301 doi: 10.1093/ajhp/zxy051
11
Sandra L. Kane‐Gill. Innovations in Medication Safety: Services and Technologies to Enhance the Understanding and Prevention of Adverse Drug ReactionsPharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 2018; 38(8): 782 doi: 10.1002/phar.2154
12
Mitchell S. Buckley, Jeffrey R. Rasmussen, Dale S. Bikin, Emily C. Richards, Andrew J. Berry, Mark A. Culver, Ryan M. Rivosecchi, Sandra L. Kane-Gill. Trigger alerts associated with laboratory abnormalities on identifying potentially preventable adverse drug events in the intensive care unit and general wardTherapeutic Advances in Drug Safety 2018; 9(4): 207 doi: 10.1177/2042098618760995
13
Yu-Kai Lin, Xiao Fang. First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse EventsSSRN Electronic Journal 2018;  doi: 10.2139/ssrn.3273203
14
Chun Yen Lee, Yi-Ping Phoebe Chen. Machine learning on adverse drug reactions for pharmacovigilanceDrug Discovery Today 2019; 24(7): 1332 doi: 10.1016/j.drudis.2019.03.003