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European Journal of Clinical Pharmacology|October 13, 2018
Defining and classifying terminology for medication harm: a call for consensusNazanin Falconer, Michael Barras, Jennifer Martin, et al.
British Journal of Clinical Pharmacology|January 17, 2018
Systematic review of predictive risk models for adverse drug events in hospitalized patientsNazanin Falconer, Michael Barras, Neil Cottrell
Research in Social & Administrative Pharmacy : RSAP|November 24, 2018
How hospital pharmacists prioritise patients at high-risk for medication harmNazanin Falconer, Michael Barras, Neil Cottrell
European Journal of Clinical Pharmacology|January 18, 2022
Evaluation of two European risk models for predicting medication harm in an Australian patient cohortNazanin Falconer, Michael Barras, Ahmad Abdel-Hafiz, et al.
British Journal of Clinical Pharmacology|September 28, 2020
Development and validation of the Adverse Inpatient Medication Event model (AIME)Nazanin Falconer, Michael Barras, Ahmad Abdel-Hafez, et al.
Exploratory Research in Clinical and Social Pharmacy|December 22, 2025
Criteria pharmacists use to refer patients to a post discharge pharmacist review clinicAdrienne Kostellar, Michael Barras, Ian Coombes, et al.
Internal Medicine Journal|May 22, 2024
Prevalence of risk factors for venous thromboembolism and aspirin resistance in Australian patients undergoing total hip and knee arthroplastyNameer van Oosterom, Michael Barras, Neil Cottrell
The American Journal of Emergency Medicine|November 8, 2023
Impact of pharmacists during in-hospital resuscitation or medical emergency response events: A systematic reviewElizabeth M Currey, Nazanin Falconer, Katherine Z Isoardi, et al.
Exploratory Research in Clinical and Social Pharmacy|September 1, 2023
The impact of hospital-based post-discharge pharmacist medication review on patient clinical outcomes: A systematic reviewJaclyn Costello, Michael Barras, Holly Foot, et al.
Research in Social & Administrative Pharmacy : RSAP|May 21, 2024
The adverse inpatient medication event and frailty (AIME-frail) risk prediction modelNazanin Falconer, Ian A Scott, Ahmad Abdel-Hafez, et al.
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